The Roles of Cloud-Based Systems on the Cancer-Related Studies: A Systematic Literature Review

Cancer statistics, 2020

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Cancer Statistics, 2021

Siegel, R. L., Miller, K. D., Fuchs, H. E., & Jemal, A. (2021) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21654 · Cited by 16,522 · see citing works

The NIST Definition of Cloud Computing

Mell, P., & Grance, T. (2011) · doi:10.6028/nist.sp.800-145 · Cited by 15,338 · see citing works

Why do people use information technology? A critical review of the technology acceptance model

Legris, P., Ingham, J., & Collerette, P. (2003) · Information & Management · doi:10.1016/s0378-7206(01)00143-4 · Cited by 4,250 · see citing works

Ovarian cancer statistics, 2018

Torre, L. A., Trabert, B., DeSantis, C. E., Miller, K. D., Samimi, G., Runowicz, C. D., Gaudet, M. M., Jemal, A., & Siegel, R. L. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21456 · Cited by 3,492 · see citing works

Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study

Ahmed, H. U., Bosaily, A. E., Brown, L. C., Gabe, R., Kaplan, R. S., Parmar, M., Collaço‐Moraes, Y., Ward, K., Hindley, R. G., Freeman, A., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(16)32401-1 · Cited by 3,292 · see citing works

Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care

Chaudhry, B., Wang, J., Wu, S., Maglione, M., Mojica, W., Roth, E., Morton, S. C., & Shekelle, P. G. (2006) · Annals of Internal Medicine · doi:10.7326/0003-4819-144-10-200605160-00125 · Cited by 3,159 · see citing works

Breast cancer statistics, 2019

Desantis, C. E., Ma, J., Gaudet, M. M., Newman, L. A., Miller, K. D., Sauer, A. G., Jemal, A., & Siegel, R. L. (2019) · CA A Cancer Journal for Clinicians · doi:10.3322/caac.21583 · Cited by 3,126 · see citing works

COSMIC: somatic cancer genetics at high-resolution

Forbes, S. A., Beare, D., Boutselakis, H., Bamford, S., Bindal, N., Tate, J., Cole, C. G., Ward, S., Dawson, E., Ponting, L., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1121 · Cited by 1,922 · see citing works

New WHO prevalence estimates of mental disorders in conflict settings: a systematic review and meta-analysis

Charlson, F., van Ommeren, M., Flaxman, A., Cornett, J., Whiteford, H., & Saxena, S. (2019) · The Lancet · doi:10.1016/s0140-6736(19)30934-1 · Cited by 1,702 · see citing works

Computational analysis of microarray data

Quackenbush, J. (2001) · Nature Reviews Genetics · doi:10.1038/35076576 · Cited by 1,481 · see citing works

Population-level impact and herd effects following the introduction of human papillomavirus vaccination programmes: updated systematic review and meta-analysis

Drolet, M., Bénard, É., Pérez, N., Brisson, M., Ali, H., Boily, M.-C., Baldo, V., Brassard, P., Brotherton, J. M. L., Callander, D., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)30298-3 · Cited by 1,384 · see citing works

Big Data: Astronomical or Genomical?

Stephens, Z. D., Lee, S. Y., Faghri, F., Campbell, R. H., Zhai, C., Efron, M. J., Iyer, R., Schatz, M. C., Sinha, S., & Robinson, G. E. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002195 · Cited by 1,340 · see citing works

Guidelines on Prostate Cancer

Heidenreich, A., Joaquim Bellmunt, B., Bolla, M., Joniau, S., Matveev, V. B., Mottet, N., Wiegel, T., & Zattoni, F. (2013) · Cited by 869 · see citing works

Epidemiology of Lung Cancer

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Ovarian Cancer

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Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems

Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2019) · IEEE Access · doi:10.1109/access.2019.2917555 · Cited by 574 · cited 1× · see citing works

Characteristics of scalability and their impact on performance

Bondi, A. B. (2000) · International Workshop on Software and Performance (WOSP) · doi:10.1145/350391.350432 · Cited by 528 · see citing works

An exhaustive survey on security and privacy issues in Healthcare 4.0

Hathaliya, J. J., & Tanwar, S. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.02.018 · Cited by 462 · see citing works

Oral immunotherapy for peanut allergy (PACE): a systematic review and meta-analysis of efficacy and safety

Chu, D. K., Wood, R. A., French, S., Fiocchi, A. G., Jordana, M., Waserman, S., Brożek, J., & Schünemann, H. J. (2019) · The Lancet · doi:10.1016/s0140-6736(19)30420-9 · Cited by 448 · see citing works

Colon cancer

Labianca, R., Beretta, G. D., Kildani, B., Milesi, L., Merlin, F., Mosconi, S., Pessi, M. A., Prochilo, T., Quadri, A., Gatta, G., et al. (2010) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2010.01.010 · Cited by 409 · see citing works

European Integration Theory

Wiener, A., Börzel, T. A., & Risse, T. (2018) · Oxford University Press eBooks · doi:10.1093/hepl/9780198737315.001.0001 · Cited by 393 · see citing works

Load balancing in cloud computing: A big picture

Mishra, S. K., Sahoo, B., & Parida, P. P. (2018) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2018.01.003 · Cited by 392 · see citing works

Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog

Donno, M. D., Tange, K., & Dragoni, N. (2019) · IEEE Access · doi:10.1109/access.2019.2947652 · Cited by 372 · see citing works

Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach

Khayer, A., Talukder, M. S., Bao, Y., & Hossain, M. N. (2019) · Technology in Society · doi:10.1016/j.techsoc.2019.101225 · Cited by 346 · see citing works

BinDaaS: Blockchain-Based Deep-Learning as-a-Service in Healthcare 4.0 Applications

Bhattacharya, P., Tanwar, S., Bodkhe, U., Tyagi, S., & Kumar, N. (2019) · IEEE Transactions on Network Science and Engineering · doi:10.1109/tnse.2019.2961932 · Cited by 294 · see citing works

IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art

Albahri, A. S., Alwan, J. K., Taha, Z. K., Ismail, S. F., Hamid, R. A., Zaidan, A. A., Albahri, O. S., Zaidan, B. B., Alamoodi, A. H., & Alsalem, M. A. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102873 · Cited by 294 · see citing works

Immunotherapy, Inflammation and Colorectal Cancer

Lichtenstern, C. R., Ngu, R. K., Shalapour, S., & Karin, M. (2020) · Cells · doi:10.3390/cells9030618 · Cited by 290 · see citing works

Algorithm based smartphone apps to assess risk of skin cancer in adults: systematic review of diagnostic accuracy studies

Freeman, K., Dinnes, J., Chuchu, N., Takwoingi, Y., Bayliss, S. E., Matin, R. N., Jain, A., Walter, F. M., Williams, H. C., & Deeks, J. J. (2020) · BMJ · doi:10.1136/bmj.m127 · Cited by 260 · see citing works

Skin cancer detection: Applying a deep learning based model driven architecture in the cloud for classifying dermal cell images

Kadampur, M. A., & Alriyaee, S. (2019) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2019.100282 · Cited by 257 · see citing works

A Systematic Overview of Chemotherapy Effects in Colorectal Cancer

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A survey of fault tolerance in cloud computing

Kumari, P., & Kaur, P. (2018) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2018.09.021 · Cited by 200 · see citing works

The role of IT-based technologies on the management of human resources in the COVID-19 era

Vahdat, S. (2021) · Kybernetes · doi:10.1108/k-04-2021-0333 · Cited by 196 · see citing works

Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine

Lahoura, V., Singh, H., Aggarwal, A., Sharma, B., Mohammed, M. A., Damaševičius, R., Kadry, S., & Cengiz, K. (2021) · Diagnostics · doi:10.3390/diagnostics11020241 · Cited by 185 · see citing works

MRMD2.0: A Python Tool for Machine Learning with Feature Ranking and Reduction

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The Cancer Genomics Cloud: Collaborative, Reproducible, and Democratized—A New Paradigm in Large-Scale Computational Research

Lau, J. W., Lehnert, E. M., Sethi, A., Malhotra, R., Kaushik, G. N., Onder, Z., Groves-Kirkby, N., Mihajlović, A., DiGiovanna, J., Srdic, M., et al. (2017) · Cancer Research · doi:10.1158/0008-5472.can-17-0387 · Cited by 171 · see citing works

DECISION SUPPORT SYSTEMS: A RESEARCH PERSPECTIVE

Keen, P. (1980) · Elsevier eBooks · doi:10.1016/b978-0-08-027321-1.50007-9 · Cited by 170 · see citing works

Image based computer aided diagnosis system for cancer detection

Lee, H., & Chen, Y. P. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.02.005 · Cited by 160 · see citing works

Federated Neural Architecture Search for Medical Data Security

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EEG-Based Pathology Detection for Home Health Monitoring

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Smart Mutual Authentication Protocol for Cloud Based Medical Healthcare Systems Using Internet of Medical Things

Deebak, B. D., & Al-Turjman, F. M. (2020) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3020599 · Cited by 145 · see citing works

Digital Twins in Unmanned Aerial Vehicles for Rapid Medical Resource Delivery in Epidemics

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Familial risk and familial survival in prostate cancer

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Cloud-Based Automated Clinical Decision Support System for Detection and Diagnosis of Lung Cancer in Chest CT

Masood, A., Yang, P., Sheng, B., Li, H., Li, P., Qin, J., Lanfranchi, V., Kim, J., & Feng, D. D. (2019) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2019.2955458 · Cited by 142 · see citing works

Detection and classification of breast cancer using logistic regression feature selection and GMDH classifier

Khandezamin, Z., Naderan, M., & Rashti, M. J. (2020) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2020.103591 · Cited by 138 · see citing works

PPO-CPQ: A Privacy-Preserving Optimization of Clinical Pathway Query for E-Healthcare Systems

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ECCO Essential Requirements for Quality Cancer Care: Soft Tissue Sarcoma in Adults and Bone Sarcoma. A critical review

Andritsch, E., Beishon, M., Bielack, S., Bonvalot, S., Casali, P. G., Crul, M., Bolton, R. C. D., Donati, D. M., Douis, H., Haas, R. L., et al. (2016) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2016.12.002 · Cited by 131 · see citing works

Multi-input convolutional neural network for breast cancer detection using thermal images and clinical data

Sánchez‐Cauce, R., Pérez‐Martín, J., & Luque, M. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.106045 · Cited by 130 · see citing works

IoT enabled cancer prediction system to enhance the authentication and security using cloud computing

Anuradha, M., Jayasankar, T., Prakash, N. B., Sikkandar, M. Y., Hemalakshmi, G. R., Bharatiraja, C., & Britto, A. S. F. (2020) · Microprocessors and Microsystems · doi:10.1016/j.micpro.2020.103301 · Cited by 129 · see citing works

Lung cancer: diagnosis, treatment principles, and screening.

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A Few Shot Classification Methods Based on Multiscale Relational Networks

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Technology, application and potential of dynamic breast thermography for the detection of breast cancer

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A Deep Fusion Matching Network Semantic Reasoning Model

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A Privacy-Preserving Optimization of Neighborhood-Based Recommendation for Medical-Aided Diagnosis and Treatment

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Features of breast cancer in developing countries, examples from North-Africa

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Classification of DNA microarrays using artificial neural networks and ABC algorithm

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Ultrasound in tumor immunotherapy: Current status and future developments

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Research on AI security enhanced encryption algorithm of autonomous IoT systems

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Characterization inference based on joint-optimization of multi-layer semantics and deep fusion matching network

Zheng, W., & Yin, L. (2022) · PeerJ Computer Science · doi:10.7717/peerj-cs.908 · Cited by 110 · see citing works

A cloud-based workflow to quantify transcript-expression levels in public cancer compendia

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Handcrafted versus deep learning radiomics for prediction of cancer therapy response

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Deep Learning-based Smart Predictive Evaluation for Interactive Multimedia-enabled Smart Healthcare

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A cybersecurity model in cloud computing environments

Rabai, L. B. A., Jouini, M., Aissa, A. B., & Mili, A. (2012) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2012.06.002 · Cited by 101 · see citing works

A Novel Reconstruction Method for Temperature Distribution Measurement Based on Ultrasonic Tomography

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Performance of the W.M. Keck Observatory Natural Guide Star Adaptive Optic Facility: the first year at the telescope

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An Updated Systematic Review on the Effects of Aerobic Exercise on Human Blood Lipid Profile

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A hybrid multi-criteria decision-making method for cloud adoption: Evidence from the healthcare sector

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Cloud‐based decision support system for the detection and classification of malignant cells in breast cancer using breast cytology images

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Definitions and methods of cost assessment: an intensivist's guide

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Completeness and timeliness: Cancer registries could/should improve their performance

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Fog Based Architecture and Load Balancing Methodology for Health Monitoring Systems

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A smart healthcare framework for detection and monitoring of COVID-19 using IoT and cloud computing

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A comprehensive and systematic review of the IoT-based medical management systems: Applications, techniques, trends and open issues

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Religion and spirituality: their role in the psychosocial adjustment to breast cancer and subsequent symptom management of adjuvant endocrine therapy

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Global cancer statistics 2018: Globocan estimates of incidence and mortality worldwide prostate cancers and their relationship with the human development index

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Concordance of Tumor Differentiation Among Brothers with Prostate Cancer

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Mapping the knowledge frontiers and evolution of decision making based on agent-based modeling

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The world cancer patient population (WCPP): An updated standard for international comparisons of population-based survival

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Value of serum tumor markers for predicting EGFR mutations and positive ALK expression in 1089 Chinese non-small-cell lung cancer patients: A retrospective analysis

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Pan-Asian adapted ESMO Clinical Practice Guidelines for the management of patients with early breast cancer: a KSMO-ESMO initiative endorsed by CSCO, ISMPO, JSMO, MOS, SSO and TOS

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Brazilian hospitals’ performance: an assessment of the unified health system (SUS)

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Cost-Effective Cloud Computing: A Case Study Using the Comparative Genomics Tool, Roundup

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A new optimal gene selection approach for cancer classification using enhanced Jaya-based forest optimization algorithm

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A Survey on Mobile Malware Detection Methods using Machine Learning

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An Attention Encoder-Decoder Network Based on Generative Adversarial Network for Remote Sensing Image Dehazing

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On Scalability of Association-rule-based Recommendation

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Effect of Different Types of Aerobic Exercise on Individuals With and Without Hypertension: An Updated Systematic Review

Esmailiyan, M., Amerizadeh, A., Vahdat, S., Ghodsi, M., Doewes, R. I., & Sundram, Y. (2021) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2021.101034 · Cited by 52 · see citing works

ABCanDroid: A Cloud Integrated Android App for Noninvasive Early Breast Cancer Detection Using Transfer Learning

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Global data for local science: Assessing the scale of data infrastructures in biological and biomedical research

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IoT with cloud based lung cancer diagnosis model using optimal support vector machine

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Usefulness of OLGA and OLGIM system not only for intestinal type but also for diffuse type of gastric cancer, and no interaction among the gastric cancer risk factors

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Cloud-Based NoSQL Open Database of Pulmonary Nodules for Computer-Aided Lung Cancer Diagnosis and Reproducible Research

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An intelligent healthcare system for predicting and preventing dengue virus infection

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Efficiently Translating Complex SQL Query to MapReduce Jobflow on Cloud

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FPGA Accelerated INDEL Realignment in the Cloud

Wills, L. W., Bruns-Smith, D., Nothaft, F. A., Huang, Q., Karandikar, S., Le, J., Lin, A., Mao, H., Sweeney, B., Asanović, K., et al. (2019) · IEEE International Symposium on High-Performance Computer Architecture (HPCA) · doi:10.1109/hpca.2019.00044 · Cited by 43 · see citing works

D-dimer Levels in Chronic Kidney Illness: A Comprehensive and Systematic Literature Review

Vahdat, S., & Shahidi, S. (2020) · Proceedings of the National Academy of Sciences India Section B Biological Sciences · doi:10.1007/s40011-020-01172-4 · Cited by 33 · see citing works

Cloud computing-based parallel genetic algorithm for gene selection in cancer classification

Кеčo, D., Subaşı, A., & Kevrić, J. (2016) · Neural Computing and Applications · doi:10.1007/s00521-016-2780-z · Cited by 31 · see citing works

SeSPHR: A Methodology for Secure Sharing of Personal Health Records in the Cloud

Ali, M., Abbas, A., Khan, M. U. S., & Khan, S. U. (2018) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2018.2854790 · Cited by 30 · see citing works

What does it mean for a system to be useful?

MacDonald, C. M., & Atwood, M. E. (2014) · Designing Interactive Systems Conference · doi:10.1145/2598510.2598600 · Cited by 27 · see citing works

Data mining techniques for analyzing healthcare conditions of urban space-person lung using meta-heuristic optimized neural networks

Abugabah, A., AlZubi, A. A., Al-Obeidat, F. N., Alarifi, A., & Alwadain, A. S. (2020) · Cluster Computing · doi:10.1007/s10586-020-03127-w · Cited by 24 · see citing works

ClickGene: an open cloud-based platform for big pan-cancer data genome-wide association study, visualization and exploration

Bi, J.-H., Tong, Y.-F., Qiu, Z.-W., Yang, X.-F., Minna, J. D., Gazdar, A. F., & Song, K. (2019) · BioData Mining · doi:10.1186/s13040-019-0202-3 · Cited by 23 · see citing works

Developing a Reproducible Microbiome Data Analysis Pipeline Using the Amazon Web Services Cloud for a Cancer Research Group: Proof-of-Concept Study

Bai, J., Jhaney, C. I., & Wells, J. (2019) · JMIR Medical Informatics · doi:10.2196/14667 · Cited by 23 · see citing works

FORECAST – A cloud-based personalized intelligent virtual coaching platform for the well-being of cancer patients

Kyriazakos, S. A., Valentini, V., Cesario, A., & Zachariae, R. H. (2017) · Clinical and Translational Radiation Oncology · doi:10.1016/j.ctro.2017.11.006 · Cited by 22 · see citing works

Vitamin D and Kidney Diseases: A Narrative Review

Vahdat, S. (2020) · International Journal of Preventive Medicine · doi:10.4103/ijpvm.ijpvm_54_19 · Cited by 22 · see citing works

Cataloguing and Linking Life Sciences LOD Cloud

Hasnain, A., Decker, S., & Deus, H. (2009) · Cited by 22 · see citing works

Dosimetric implications of inter- and intrafractional prostate positioning errors during tomotherapy

Wust, P., Joswig, M. A., Graf, R., Böhmer, D., Beck, M., Barelkowski, T., Budach, V., & Ghadjar, P. (2017) · Strahlentherapie und Onkologie · doi:10.1007/s00066-017-1141-x · Cited by 21 · see citing works

Anti-Colorectal Cancer Mechanisms of Formononetin Identified by Network Pharmacological Approach

Zhang, L., Gong, Y., Wang, S., & Gao, F. (2019) · Medical Science Monitor · doi:10.12659/msm.919935 · Cited by 21 · see citing works

The Effect of Vitamin D Administration on Intracellular Adhesion Molecule-1 and Vascular Cell Adhesion Molecule-1 Levels in Hemodialysis Patients: A Placebo-controlled, Double-blinded Clinical Trial

Naeini, A. E., Moeinzadeh, F., Vahdat, S., Ahmadi, A., Hedayati, Z. P., & Shahzeidi, S. (2017) · Journal of Research in Pharmacy Practice · doi:10.4103/2279-042x.200994 · Cited by 20 · see citing works

A Cloud-Connected Multi-Lead Electrocardiogram (ECG) Sensor Ring

Dong, Q., Downen, R. S., Li, B., Tran, N. A., & Li, Z. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2021.3075992 · Cited by 20 · see citing works

Cloud-Based Skin Lesion Diagnosis System Using Convolutional Neural Networks

Akar, E., Marques, O., Andrews, W. A., & Furht, B. (2019) · Advances in intelligent systems and computing · doi:10.1007/978-3-030-22871-2_70 · Cited by 20 · see citing works

Peer Mentors for People with Advanced Cancer: Lessons Learnt from Recruiting and Training Peer Mentors for a Feasibility Randomized Controlled Trial

Walshe, C., Roberts, D., Calman, L. A., Appleton, L., Croft, R., Algorta, G. P., Skevington, S. M., Lloyd‐Williams, M., & Grande, G. (2020) · Journal of Cancer Education · doi:10.1007/s13187-020-01692-7 · Cited by 19 · see citing works

A novel generalized logistic dependent model to predict the presence of breast cancer based on biomarkers

Pham, H., & Pham, D. H. (2019) · Concurrency and Computation Practice and Experience · doi:10.1002/cpe.5467 · Cited by 18 · see citing works

The role of an ant colony optimisation algorithm in solving the major issues of the cloud computing

Asghari, S., & Navimipour, N. J. (2021) · Journal of Experimental & Theoretical Artificial Intelligence · doi:10.1080/0952813x.2021.1966841 · Cited by 18 · see citing works

Santé numérique et « cancer hors les murs », Big Data et intelligence artificielle

Bertucci, F., Corroller, A. L., Monneur, A., Fluzin, S., Viens, P., Maraninchi, D., & Gonçalvès, A. (2019) · Bulletin du Cancer · doi:10.1016/j.bulcan.2019.07.006 · Cited by 17 · see citing works

Cloud healthcare services: A comprehensive and systematic literature review

Rahimi, M., Navimipour, N. J., Hosseinzadeh, M., Moattar, M. H., & Darwesh, A. M. (2022) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4473 · Cited by 17 · see citing works

A topological approach for cancer subtyping from gene expression data

Rafique, O., & Mir, A. H. (2019) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2019.103357 · Cited by 16 · see citing works

MapReduce Preprocess of Big Graphs for Rapid Connected Components Detection

Abdolazimi, R., Heidari, M., Esmaeilzadeh, A., & Naderi, H. (2022) · IEEE Annual Computing and Communication Workshop and Conference (CCWC) · doi:10.1109/ccwc54503.2022.9720798 · Cited by 16 · see citing works

An investigation of symptom burden and quality of life in Chinese chemo-naïve advanced lung cancer patients by using the Instrument-Cloud QOL System.

Ma, Y.-X., Yang, Y.-P., Huang, Y., Zhao, H.-Y., Hou, X., Tian, Y., Zhao, Y.-Y., Xue, C., Fang, W., Wu, X., et al. (2014) · Lung Cancer · doi:10.1016/j.lungcan.2014.01.027 · Cited by 15 · see citing works

Cloud-Based Service Information System for Evaluating Quality of Life after Breast Cancer Surgery

Kao, H.-Y., Wu, W., Liang, T., Lee, K.-T., Hou, M., & Shi, H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0139252 · Cited by 15 · see citing works

The Anticarcinogenic Effect of the Apple Polyphenol Phloretin in an Experimental Rat Model of Hepatocellular Carcinoma

Alansari, W. S., & Eskandrani, A. A. (2020) · Arabian Journal for Science and Engineering · doi:10.1007/s13369-020-04478-7 · Cited by 14 · see citing works

Mobile platform for online processing of multimodal skin optical images: Using online Matlab server for processing remission, fluorescence and laser speckle images, obtained by using novel handheld device

Bļizņuks, D., Jakovels, D., Saknīte, I., & Spīgulis, J. (2015) · International Workshop on Biophotonics · doi:10.1109/biophotonics.2015.7304024 · Cited by 14 · see citing works

Cloud Computing with Machine Learning Could Help Us in the Early Diagnosis of Breast Cancer

Bhat, J. A., George, V., & Malik, B. A. (2015) · International Conference on Advances in Computing and Communication Engineering · doi:10.1109/icacce.2015.62 · Cited by 12 · see citing works

A Fuzzy Logic-Based Method for Replica Placement in the Peer to Peer Cloud Using an Optimization Algorithm

Mohammadi, B., & Navimipour, N. J. (2021) · Wireless Personal Communications · doi:10.1007/s11277-021-08936-9 · Cited by 12 · see citing works

Early prediction of quality of service using interface-level metrics, code-level metrics, and antipatterns

Abid, C., Kessentini, M., & Wang, H. (2020) · Information and Software Technology · doi:10.1016/j.infsof.2020.106313 · Cited by 12 · see citing works

Detection and verification of 2.3 million cancer mutations in NCI60 cancer cell lines with a cloud search engine

Prakash, A., Majumder, S., Ahmad, S., Varkey, M., Anish, T. A., Jenkins, C., Rigby, M., & Orsburn, B. C. (2019) · Journal of Proteomics · doi:10.1016/j.jprot.2019.103488 · Cited by 11 · see citing works

Using the Seven Bridges Cancer Genomics Cloud to Access and Analyze Petabytes of Cancer Data

Malhotra, R., Seth, I., Lehnert, E. M., Zhao, J., Kaushik, G. N., Williams, E. H., Sethi, A., & Davis‐Dusenbery, B. N. (2017) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.39 · Cited by 9 · see citing works

Cloud based Decision Support System for Diagnosis of Breast Cancer using Digital Mammograms

Aruna, S., Nandakishore, L. V., & Rajagopalan, S. P. (2012) · IEEE International Conference on Cloud Computing Technology and Science · Cited by 9 · see citing works

Participation and Ease of Use in Colorectal Cancer Screening: A Comparison of 2 Fecal Immunochemical Tests

de Klerk, C. M., Wieten, E., van der Steen, A., Ramakers, C. R. B., Kuipers, E. J., Hansen, B. E., Lansdorp‐Vogelaar, I., Bossuyt, P. M., Spaander, M. C. W., & Dekker, E. (2019) · The American Journal of Gastroenterology · doi:10.14309/ajg.0000000000000148 · Cited by 9 · see citing works

Prevention of Occupational Skin Cancer

Bauer, A., Adam, K., Soyer, H. P., & Adam, K. W. J. (2019) · Springer eBooks · doi:10.1007/978-3-319-68617-2_115 · Cited by 8 · see citing works

Automatic Atlas Based Electron Density and Structure Contouring for MRI-based Prostate Radiation Therapy on the Cloud

Dowling, J., Burdett, N., Greer, P. B., Sun, J., Parker, J., Pichler, P., Stanwell, P., Chandra, S. S., Rivest‐Hénault, D., Ghose, S., et al. (2014) · Journal of Physics Conference Series · doi:10.1088/1742-6596/489/1/012048 · Cited by 8 · see citing works

Towards the Scalable Cloud Platform for Non-Invasive Skin Cancer Diagnostics

Bļizņuks, D., Boločko, K., Sisojevs, A., & Ayub, K. (2017) · Procedia Computer Science · doi:10.1016/j.procs.2017.01.161 · Cited by 8 · see citing works

Palliative care delivery according to age in 12,000 women with metastatic breast cancer: Analysis in the multicentre ESME-MBC cohort 2008–2016

Frasca, M., Sabathé, C., Delaloge, S., Galvin, A., Patsouris, A., Lévy, C., Mouret‐Reynier, M., Desmoulins, I., Vanlemmens, L., Bachelot, T., et al. (2020) · European Journal of Cancer · doi:10.1016/j.ejca.2020.07.007 · Cited by 8 · see citing works

An intelligent method of cancer prediction based on mobile cloud computing

Zhang, G., Kou, L., Yuan, Y., Sun, J., Lin, Y., Da, Q., & Wang, W. (2017) · Cluster Computing · doi:10.1007/s10586-017-1416-0 · Cited by 7 · see citing works

Cloud Infrastructure for Skin Cancer Scalable Detection System

Osipovs, P., Bļizņuks, D., & Kuzmina, I. (2018) · Advances in Wireless and Optical Communications (RTUWO) · doi:10.1109/rtuwo.2018.8587864 · Cited by 7 · see citing works

Cancer Diagnosis Epigenomics Scientific Workflow Scheduling in the Cloud Computing Environment Using an Improved PSO Algorithm

Sadhasivam, N., Balamurugan, R., & Pandi, M. (2018) · Europe PMC (PubMed Central) · doi:10.22034/apjcp.2018.19.1.243 · Cited by 6 · see citing works

Usage of cloud storage facilities by medical students in a low-middle income country, Sri Lanka: a cross sectional study

Hettige, S., Dasanayaka, E., & Ediriweera, D. S. (2020) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-020-1029-z · Cited by 5 · see citing works

Evaluation of a cloud-based local-read paradigm for imaging evaluations in oncology clinical trials for lung cancer

Sueoka‐Aragane, N., Kobayashi, N., Bonnard, E., Charbonnier, C., Yamamichi, J., Mizobe, H., & Kimura, S. H. (2015) · Acta Radiologica Open · doi:10.1177/2058460115588103 · Cited by 5 · see citing works

Tackling maternal mortality by improving technical efficiency in the production of primary health services: longitudinal evidence from the Mexican case

Servan-Mori, E. E., Chivardi, C., Fene, F., Heredia-Pi, I., Mendoza, M. Á., & Nigenda, G. (2020) · Health Care Management Science · doi:10.1007/s10729-020-09503-7 · Cited by 5 · see citing works

Gene Expression Profile of Prostate Cancer Patients by Chemiluminescent Analysis

Alonso‐Goulart, V., Neves, A. F., Marangoni, K., de Faria, P. C. B., Cordeiro, E. R., Freschi, A. P. P., & Goulart, L. R. (2009) · Analytical Letters · doi:10.1080/00032710802568655 · Cited by 4 · see citing works

Security System in Cloud Computing for Medical Data Usage

Louk, M. H. L., Lim, H., & Lee, H. J. (2013) · Advanced Science and Technology Letters · doi:10.14257/astl.2013.38.06 · Cited by 3 · see citing works

Platform's Architecture for Colorectal Cancer Research in the Cloud

Simjanoska, M., Gušev, M., & Ristov, S. (2015) · Procedia Engineering · doi:10.1016/j.proeng.2015.01.472 · Cited by 3 · see citing works

Cloud-super-computing virtual colonoscopy with motion-based navigation for colon cancer screening

Yoshida, H. (2013) · IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin) · doi:10.1109/icce-berlin.2013.6698061 · Cited by 3 · see citing works

A cloud platform for remote diagnosis of breast cancer in mammography by fusion of machine and human intelligence

Jiang, G., Fan, M., & Li, L. (2016) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2218211 · Cited by 3 · see citing works

Prediction of Cancer Based on Mobile Cloud Computing and SVM

Kou, L., Yuan, Y., Sun, J., & Lin, Y. (2017) · International Conference on Dependable Systems and Their Applications (DSA) · doi:10.1109/dsa.2017.20 · Cited by 3 · see citing works

Data Analytics and Cloud Computing vs Breast Cancer: Learning That Helps

Mónica, L.-B.-C., Sergio, H.-A., Ramona, F.-V., & Pedro, N.-G. (2020) · International Journal of Information and Education Technology · doi:10.18178/ijiet.2020.10.4.1371 · Cited by 3 · see citing works

Petabyte-Scale Cancer Genomics in the Cloud

Davis‐Dusenbery, B. N. (2015) · Cancer Genetics · doi:10.1016/j.cancergen.2015.05.012 · Cited by 2 · see citing works

Visualizing Next-Generation Sequencing Cancer Data Sets with Cloud Computing

Walsh, P., Lawlor, B., Kelly, B., Manning, T., Heuss, T., & Leopold, M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-50070-6_4 · Cited by 2 · see citing works

Abstract 2595: Enabling petabyte-scale cancer genomics with the NCI Cancer Cloud Pilots

Kaushik, G. N., Li, Y., Lehnert, E. M., Onder, Z., Locke, D. P., Davis‐Dusenbery, B. N., & Kural, D. (2017) · Cancer Research · doi:10.1158/1538-7445.am2017-2595 · Cited by 2 · see citing works

Abstract 5022: iGRAMMy: Cloud-based characterization of microbial landscape in colorectal cancers

Xia, L. C., Ai, D., Guo, M., & Ji, H. P. (2019) · Cancer Research · doi:10.1158/1538-7445.am2019-5022 · Cited by 2 · see citing works

C-PASS-PC: A Cloud-driven Prototype of Multi-Center Proactive Surveillance System for Prostate Cancer

Wang, H. (2012) · International Journal of Computer Science and Information Technology · doi:10.5121/ijcsit.2012.4412 · Cited by 2 · see citing works

The Relation between Serum Levels of Oxidants and Antioxidants with Asthma Severity

Roshanzamir, T., & Vahdat, S. (2011) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 2 · see citing works

A cloud based system for breast cancer detection using machine learning algorithms

Bhosale, S. D. (n.d.) · Cited by 2 · see citing works

The Need for Novel Graphical Presentation of Cancer Risk: Mushroom Cloud and Floating-Bar Plots

Efird, J. T. (2013) · Tropical Medicine & Surgery · doi:10.4172/2329-9088.1000e104 · Cited by 1 · see citing works

O-CareCloud: ovarian cancer patient management system on cloud

Latip, R. B., Lokman, S. N., Ishak, S. E. A., & Mohamad, N. (2014) · Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia) · Cited by 1 · see citing works

Big Data Predictive Analysis for Detection of Prostate Cancer on Cloud-Based Platform

Gangwal, R. A., Deshmukh, R. R., & Emmanuel, M. (2017) · Advances in information security, privacy, and ethics book series · doi:10.4018/978-1-5225-2486-1.ch012 · Cited by 1 · see citing works

Abstract A15: Development of a cloud-based histology database for collaborative cancer research

Cheng, K. C., Chu, G., Sivak, R., & Dao, D. N. (2014) · Molecular Cancer Research · doi:10.1158/1557-3125.modorg-a15 · Cited by 1 · see citing works

Abstract A56: Development of a cloud-based machine learning system (CLOBNET) to predict platinum resistance in high-grade serous ovarian cancer

Isoviita, V., Salminen, L., Azar, J. C., Hynninen, J., Lehtonen, R., Roering, P., Grénman, S., Färkkilä, A., & Hautaniemi, S. (2018) · Clinical Cancer Research · doi:10.1158/1557-3265.ovca17-a56 · Cited by 1 · see citing works

Exploratory Use of Cloud Computing and Social Media for Prostate Cancer Advocacy in Nigeria

Eguzo, K. N., Jacob, A., Okwuosa, C., Mbogu, F., Owuenyi, N., Okoye, I. J., Eguzo, C., Ekong, E. E., Okparah, M., Sariel, P., et al. (2018) · Journal of Global Oncology · doi:10.1200/jgo.18.19900 · Cited by 1 · see citing works

Biofilms of Colorectal Cancer

Craig, C. (2015) · Cited by 1 · see citing works

Abstract A64: Development of a cloud-based histology database for collaborative cancer research

Cheng, K. (2016) · Cancer Research · doi:10.1158/1538-7445.tummet15-a64 · Cited by 1 · see citing works

Nonclinical endpoint assessment utilizing a digital vivarium cloud platform in an ovarian cancer xenograft model.

Nwagwu, C. D., Defensor, E. B., Schaevitz, L. R., & Carbonell, S. (2019) · Journal of Clinical Oncology · doi:10.1200/jco.2019.37.15_suppl.e14690 · Cited by 1 · see citing works

Medical imaging platforms and cloud solutions for the case study of breast cancer diagnostics

Vetova, S., & Borovskа, P. (2019) · AIP conference proceedings · doi:10.1063/1.5133486 · Cited by 1 · see citing works

A Cancer Genomics Data Space within the Linked Open Data (LOD) Cloud.

Zehra, D., Jha, A., Khan, Y., Hasnain, A., d’Aquin, M., & Sahay, R. (2019) · Cited by 1 · see citing works

Security of Blockchain and AI-Empowered Smart Healthcare: Application-Based Analysis

Alabdulatif, A., Khalil, I., & Saidur Rahman, M. (2022) · Applied Sciences · doi:10.3390/app122111039 · Cited by 117 · see citing works

Artificial intelligence in emergency medicine. A systematic literature review

Piliuk, K., & Tomforde, S. (2023) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2023.105274 · Cited by 83 · see citing works

Cloud computing and machine learning for analysis of health care data based on neuro fuzzy logistic regression

Dhiyanesh, B., Rameshkumar, M., Karthick, K., & Radha, R. (2023) · Journal of Intelligent & Fuzzy Systems · doi:10.3233/jifs-223280 · Cited by 17 · see citing works

Outlier detection in spatial error models using modified thresholding-based iterative procedure for outlier detection approach

Cai, J., Hu, W., Yang, Y., Yan, H., & Chen, F. (2024) · BMC Medical Research Methodology · doi:10.1186/s12874-024-02208-3 · Cited by 7 · see citing works

Enhancing Skin Cancer Diagnosis Through Optimized Convolutional Neural Network in a Smart Health Care System

Hussain, M. M., Akhil, L., Prakash, T. O., & Prasanna, B. L. (2024) · International Conference on IoT Based Control Networks and Intelligent Systems (ICICNIS) · doi:10.1109/icicnis64247.2024.10823180 · Cited by 3 · see citing works

In Silico identification, structural modeling, and ligand docking analysis of deleterious FOXA1 mutations associated with prostate cancer progression

Ullah, A., Aslam, M., Ahmad, M., Umar, A., Khan, M. U., & Khan, M. S. (2025) · In Silico Research in Biomedicine · doi:10.1016/j.insi.2025.100093 · Cited by 3 · see citing works

Optimizing Skin Cancer Detection Using the MobileNet Deep Learning Model: A Lightweight and Efficient Approach

Revanth, C., Balaji, T., Kumar, N., Goud, D. S. K., Haritha, G. S., & Praveen, B. (2025) · International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) · doi:10.1109/aimla63829.2025.11040509 · Cited by 2 · see citing works

A Scoping Review of Implemented Innovations in Cancer Care: Implications for Pan-Canadian Scaling

Sampalli, T., Tomblin Murphy, G., Peacock, S., Navaratnam, S., Domm, D., & MacKenzie, K. (2026) · Current Oncology · doi:10.3390/curroncol33070395

Reptile Search Algorithm with Deep Convolutional Neural Network for Cloud Assisted Colorectal Cancer Detection and Classification

Rajeev Kumar Tiwari, S. M. (2023) · Journal of Propulsion Technology · doi:10.52783/tjjpt.v44.i4.970

Smart IoT_Cloud-Based ML Technique to Classify Breast Cancer

Prusty, S., Dash, S. K., Prusty, S. G. P., Dalai, S. S., Tripathy, N., & Nayak, S. K. (2023) · International Conference on Ambient Intelligence in Health Care (ICAIHC) · doi:10.1109/icaihc59020.2023.10431475

Improved Lung Cancer Monitoring with Kalman Filter Algorithm for Tumor Growth Prediction

Anitha, P., Tharanika, S., N.Prakash, Kandasamy, C. A., Yoganathan, A. P., & P.Kalyanasundaram (2025) · International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) · doi:10.1109/icicv64824.2025.11085467

Additional file 1 of Outlier detection in spatial error models using modified thresholding-based iterative procedure for outlier detection approach

Cai, J., Hu, W., Yang, Y., Yan, H., & Chen, F. (2024) · Figshare · doi:10.6084/m9.figshare.25608773

Cloud Computing With Image Processing Framework for Lung Cancer Diagnosis Using Improved Heuristic‐Aided Hybrid Residual Attention Network

Jayapal, M., Kumar, A. B. P., Karanam, S. R., & Thamanam, S. R. (2026) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.70395

How does cloud computing improve cancer information management? A systematic review

Erfannia, L., & Alipour, J. (2022) · Informatics in Medicine Unlocked · doi:10.1016/j.imu.2022.101095 · Cited by 9 · see citing works

Distributed intelligence in cancer care: A systematic review of Cloud-Based oncology solutions

Govindarajan, V. (2025) · Perinatal Journal · doi:10.57239/prn.26.03410035

Cloud-Based Solutions in Healthcare Systems: A Systematic Review of Current Practices and Future Directions

Padhy, B., Mishra, B. K., Pati, B., & Mishra, R. (2025) · International Conference on Next Generation of Green Information and Emerging Technologies (GIET) · doi:10.1109/giet65294.2025.11234821 · Cited by 1 · see citing works

Applying cloud computing and informatics in cancer

Ronquillo, J. G. (2025) · doi:10.1093/med/9780192867636.003.0020

Cloud healthcare services: A comprehensive and systematic literature review

Rahimi, M., Navimipour, N. J., Hosseinzadeh, M., Moattar, M. H., & Darwesh, A. M. (2022) · Transactions on Emerging Telecommunications Technologies · doi:10.1002/ett.4473 · Cited by 17 · see citing works