Machine learning applications in cancer prognosis and prediction

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1. miR-522-3p Promotes Osteosarcoma Cell Growth By Regulating Glucose Uptake And GLUT1 Expression
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2. Ontologies in radiation oncology
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3. An Analysis of Classification of Breast Cancer Dataset Using J48 Algorithm
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4. An Experimental Study on Applying Metamorphic Testing in Machine Learning Applications
   Sebastião Henrique Nascimento Santos, Beatriz Silveira, Stevão Alves de Andrade, Márcio Eduardo Delamaro, Simone R. S. Souza · 2020 · Brazilian Symposium on Systematic and Automated Software Testing (SAST)
5. Machine Learning Models to Predict Length of Stay and Discharge Destination in Complex Head and Neck Surgery
   Khodayar Goshtasbi, Tyler M. Yasaka, Mehdi Zandi-Toghani, H. Djalilian, W. Armstrong, T. Tjoa, Y. Haidar, M. Abouzari · 2020 · Head and Neck
6. GLIMPSE: a glioblastoma prognostication model using ensemble learning—a surveillance, epidemiology, and end results study
   Kamel Aladdein Samara, Zaher Al Aghbari, Amani Abusafia · 2021 · Health Information Science and Systems
7. AFExNet: An Adversarial Autoencoder for Differentiating Breast Cancer Sub-Types and Extracting Biologically Relevant Genes
   Raktim Kumar Mondol, Nhan Duy Truong, Mohammad Reza Bonyadi, Samuel J. Ippolito, Esmaeil Ebrahimie, Omid Kavehei · 2021 · IEEE Transactions on Computational Biology and Bioinformatics
8. DMAKit: A user-friendly web platform for bringing state-of-the-art data analysis techniques to non-specific users
   David Medina-Ortiz, Sebastián Contreras, Cristofer Quiroz, Juan A. Asenjo, Álvaro Olivera‐Nappa · 2020 · Information Systems
9. Exploring the impact of spatial autocorrelation on optimistic bias in cross-validation and assessing the effectiveness of spatial cross-validation
   Musang Yoo, Hyeongmo Koo · 2024 · Cartography and Geographic Information Science
10. Artificial Intelligence and Cancer Health Equity: Bridging the Divide or Widening the Gap
    Irene Dankwa‐Mullan, Kingsley Ndoh, Darlington Akogo, Hermano Alexandre Lima Rocha, Sérgio Ferreira Juaçaba · 2025 · Current Oncology Reports
11. Machine Learning Models for Predicting Gynecological Cancers: Advances, Challenges, and Future Directions
    Pankaj Kumar Garg, Madhu Krishna, Prakash Kulkarni, David A. Horne, Ravi Salgia, Sharad S. Singhal · 2025 · Cancers
12. Clinical significance of combining salivary mRNAs and carcinoembryonic antigen for ovarian cancer detection
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13. Sentiment analysis of students in ideological and political teaching based on artificial intelligence and data mining
    Wan Hongmei, Songlin Tang · 2021 · Journal of Intelligent & Fuzzy Systems
14. Predictive analytics and machine learning for medical informatics: A survey of tasks and techniques
    Deepti Lamba, William H. Hsu, Majed Alsadhan · 2021 · Elsevier eBooks
15. Music classroom assistant teaching system based on intelligent speech recognition
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16. LDSVM: Leukemia Cancer Classification Using Machine Learning
    Abdul Karim, Azhari Azhari, Mobeen Shahroz, Samir Brahim Belhouari, Khabib Mustofa · 2021 · Computers, materials & continua/Computers, materials & continua (Print)
17. Machine Learning Solutions Applied to Amyotrophic Lateral Sclerosis Prognosis: A Review
    Fabiano Papaiz, Mário Emílio Teixeira Dourado Júnior, Ricardo Alexsandro de Medeiros Valentim, Antônio Higor Freire de Morais, Joel Perdiz Arrais · 2022 · Frontiers in Computer Science
18. Image fairness in deep learning: problems, models, and challenges
    Huan Tian, Tianqing Zhu, Wei Liu, Wanlei Zhou · 2022 · Neural Computing and Applications
19. Evaluating Membership Inference Through Adversarial Robustness
    Zhaoxi Zhang, Leo Yu Zhang, Xufei Zheng, Bilal Abbasi, Shengshan Hu · 2022 · The Computer Journal
20. A novel predict-then-optimize method for sustainable bike-sharing management: a data-driven study in China
    Yu Zhou, Qin Li, Xiaohang Yue, Jiajia Nie, Qiang Guo · 2022 · Annals of Operations Research
21. Plasma lipid-based machine learning models provides a potential diagnostic tool for colorectal cancer patients
    Chenxi Yang, Sicheng Zhou, Jing Zhu, Huaying Sheng, Weimin Mao, Zhixuan Fu, Zhongjian Chen · 2022 · Clinica Chimica Acta
22. Comparison of machine learning models for bluetongue risk prediction: a seroprevalence study on small ruminants
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23. A hybrid breast cancer classification algorithm based on meta-learning and artificial neural networks
    Luyao Han, Zhixiang Yin · 2022 · Frontiers in Oncology
24. Deep learning predictions of unsteady aerodynamic loads on an airfoil model pitched over the entire operating range
    Ayman Mohamed, David Wood · 2023 · Physics of Fluids
25. Current role of artificial intelligence in head and neck cancer surgery: a systematic review of literature
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26. Engineering Heterogeneous Tumor Models for Biomedical Applications
    Zhuhao Wu, Danqing Huang, Jinglin Wang, Yuanjin Zhao, Weijian Sun, Xian Shen · 2023 · Advanced Science
27. Intelligent decision support system for breast cancer diagnosis by gene expression profiles
    Hanaa Salem, Gamal Attiya, Nawal Ahmed El-Fishawy · 2016 · National Radio Science Conference
28. A machine learning strategy for predicting localization of post-translational modification sites in protein-protein interacting regions
    Thammakorn Saethang, D. Michael Payne, Yingyos Avihingsanon, Trairak Pisitkun · 2016 · BMC Bioinformatics
29. What’s New in Imaging for Gynecologic Cancer?
    Sairah R. Khan, Mubarik Arshad, Kathryn L. Wallitt, Victoria R. Stewart, Nishat Bharwani, Tara D. Barwick · 2017 · Current Oncology Reports
30. Comparison of Basic and Ensemble Data Mining Methods in Predicting 5-Year Survival of Colorectal Cancer Patients
    Mohamad Amin Pourhoseingholi, Sedigheh Kheirian, Mohammad Reza Zali · 2017 · Acta Informatica Medica
31. CCA based multi-view feature selection for multi-omics data integration
    Yasser EL‐Manzalawy · 2018 · IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)
32. Prediction of Pathological Complete Response after Neoadjuvant Chemotherapy for breast cancer using ensemble machine learning
    Raghvi Bhardwaj, Nishtha Hooda · 2019 · Informatics in Medicine Unlocked
33. Decoding Plant–Environment Interactions That Influence Crop Agronomic Traits
    Keiichi Mochida, Ryuei Nishii, Takashi Hirayama · 2020 · Plant and Cell Physiology
34. Genome-wide analysis of NGS data to compile cancer-specific panels of miRNA biomarkers
    Shib Sankar Bhowmick, Indrajit Saha, Debotosh Bhattacharjee, Loredana M. Genovese, Filippo Geraci · 2018 · PLoS ONE
35. Machine learning and mechanistic modeling for prediction of metastatic relapse in early-stage breast cancer
    C. Nicolò, C. Périer, M. Prague, C. Bellera, Gaëtan Marie MacGrogan, Olivier Saut, Sébastien Benzekry · 2019 · bioRxiv (Cold Spring Harbor Laboratory)
36. Deep Learning for Metagenomic Data: using 2D Embeddings and Convolutional Neural Networks
    Nguyễn Thanh Hải, Yann Chevaleyre, Edi Prifti, Nataliya Sokolovska, Jean‐Daniel Zucker · 2017 · arXiv (Cornell University)
37. Machine Learning Algorithms
    Hamed Taherdoost · 2023 · IGI Global eBooks
38. Enhancing Software Fault Prediction Through Feature Selection With Spider Wasp Optimization Algorithm
    Himansu Das, Swarnava Das, Mahendra Kumar Gourisaria, Surbhi Bhatia, Ahlam I. Almusharraf, Abdullah I. Alharbi, T R Mahesh · 2024 · IEEE Access
39. Transforming Cancer Classification: The Role of Advanced Gene Selection
    Abrar Yaqoob, Mushtaq Ahmad Mir, G. V. V. Jagannadha Rao, Ghanshyam G. Tejani · 2024 · Diagnostics
40. Artificial Intelligence in Gerontology: Data-Driven Health Management and Precision Medicine
    Shuailiang Zhang, L. Wu, Zhou Zhao, Julio R. Fernández, Ming Chen · 2024 · Advances in Gerontology
41. Data-driven survival modeling for breast cancer prognostics: A comparative study with machine learning and traditional survival modeling methods
    Theophilus G. Baidoo, Hansapani Rodrigo · 2025 · PLoS ONE
42. Comprehensive multi-omics and machine learning framework for glioma subtyping and precision therapeutics
    Yi Ding, Zhaiyue Xu, Wenjing Hu, Peng Deng, Mian Ma, Jiandong Wu · 2025 · Scientific Reports
43. Role of artificial intelligence in medical image analysis
    Lu Wang, Shimin Zhang, Nan Xu, Qianqian He, Yuming Zhu, Zhihui Chang, Yanan Wu, Huihan Wang, Shouliang Qi, Lína Zhang et al. · 2025 · Chinese Medical Journal
44. Data-driven stochastic optimization approaches to determine decision thresholds for risk estimation models
    Gian‐Gabriel P. Garcia, Mariel S. Lavieri, Ruiwei Jiang, Michael McCrea, Thomas W. McAllister, Steven P. Broglio · 2020 · IISE Transactions
45. The Challenges of Machine Learning and Their Economic Implications
    Pol Borrellas i Martín, Irene Unceta · 2021 · Entropy
46. A review of the application of machine learning in adult obesity studies
    Mohammad Alkhalaf, Ping Yu, Jun Shen, Chao Deng · 2022 · Applied Computing and Intelligence
47. Machine Learning for The Prediction of Ranked Applicants and Matriculants to an Internal Medicine Residency Program
    Christiaan A. Rees, Hilary F. Ryder · 2022 · Teaching and Learning in Medicine
48. Bone metastasis risk and prognosis assessment models for kidney cancer based on machine learning
    Lichen Ji, Wei Zhang, Jiaqing Huang, Jinlong Tian, Xugang Zhong, Junchao Luo, Senbo Zhu, Zeju He, Tong Yu, Xiang Ling Meng et al. · 2022 · Frontiers in Public Health
49. An efficient ensemble-based Machine Learning for breast cancer detection
    Ramdas Kapila, Sumalatha Saleti · 2023 · Biomedical Signal Processing and Control
50. Prediction model for hepatocellular carcinoma recurrence after hepatectomy: Machine learning-based development and interpretation study
    Rongqiang Liu, Shi‐Nan Wu, Hao yuan Yu, Kaining Zeng, Zhixing Liang, Siqi Li, Yongwei Hu, Yang Yang, Linsen Ye · 2023 · Heliyon
51. Predicting Lung Cancer using XGBoost and other Ensemble Learning Models
    Divanshu Singh, Avish Khandelwal, Pawan Bhandari, Sunita Barve, Diptee Vishwanath Chikmurge · 2023 · International Conference on Computing, Communication and Networking Technologies (ICCCNT)
52. Bayesian active learning isolation forest (B-ALIF): A weakly supervised strategy for anomaly detection
    Davide Sartor, Tommaso Barbariol, Gian Antonio Susto · 2023 · Engineering Applications of Artificial Intelligence
53. Machine learning-based radiomics strategy for prediction of acquired EGFR T790M mutation following treatment with EGFR-TKI in NSCLC
    Jiameng Lu, Xiaoqing Ji, Xinyi Liu, Yunxiu Jiang, Gang Li, Ping Fang, Wei Li, Anli Zuo, Zihan Guo, Shuran Yang et al. · 2024 · Scientific Reports
54. A comprehensive review of dose limits, triage systems and measurement tools for consequence management of nuclear and radiological emergencies
    Y. Wei, Shaheen Azim Dewji · 2024 · Radiation Physics and Chemistry
55. Development and validation of a deep learning model for predicting postoperative survival of patients with gastric cancer
    Mengjie Wu, Xiaofan Yang, Yuxi Liu, Feng Han, Xi Li, Jufeng Wang, Dandan Guo, Xiance Tang, Lin Lü, Changpeng Liu · 2024 · BMC Public Health
56. A super SDM (species distribution model) ‘in the cloud’ for better habitat-association inference with a ‘big data’ application of the Great Gray Owl for Alaska
    Falk Huettmann, Phillip Andrews, Moriz Steiner, Arghya Kusum Das, Jacques Philip, Chunrong Mi, Nathaniel Bryans, Bryan Barker · 2024 · Scientific Reports
57. Integration of feature enhancement technique in Google inception network for breast cancer detection and classification
    Wasyihun Sema Admass, Yirga Yayeh Munaye, Ayodeji Olalekan Salau · 2024 · Journal Of Big Data
58. Introduction to Machine Learning and Optimization in Healthcare
    Shruthi Anandhavalli Gauthaman, Anandhavalli Muniasamy, Riyazdeen Kamaldheen, S. Sachin Kumar, Kaurish Murugesan, Mukesh Kumar Viswanathan, Harini Devendran · 2025 · IGI Global eBooks
59. Prediction of Electroencephalogram Time Series With Electro-Search Optimization Algorithm Trained Adaptive Neuro-Fuzzy Inference System
    José Antonio Marmolejo-Saucedo, D. Jude Hemanth, Utku Köse · 2019 · IEEE Access
60. Disease Prediction Using Synthetic Image Representations of Metagenomic Data and Convolutional Neural Networks
    Thanh Hai Nguyen, Edi Prifti, Nataliya Sokolovska, Jean‐Daniel Zucker · 2019 · RIVF International Conference on Computing and Communication Technologies (RIVF)
61. A deep learning model for predicting tumor suppressor genes and oncogenes from PDB structure
    Amirhossein Tavanaei, Nishanth Anandanadarajah, Anthony S. Maida, Rasiah Loganantharaj · 2017 · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
62. LncRNA PLAC2 upregulates p53 to induce hepatocellular carcinoma cell apoptosis
    Yujian Zheng, Pengxiang Lv, Shaoping Wang, Qing Cai, Zhang Bao, Feng Huo · 2019 · Gene
63. Developing Machine Learning Algorithms for the Prediction of Early Death in Elderly Cancer Patients: Usability Study
    Gabrielle Ribeiro Sena, Tiago Pessoa Lima, Maria Júlia Gonçalves de Mello, Luiz Cláudio Santos Thuler, Jurema Telles de Oliveira Lima · 2019 · JMIR Cancer
64. A Dynamic Deep Neural Network for Multimodal Clinical Data Analysis
    Maria Hügle, Gabriel Kalweit, Thomas Hügle, Joschka Boedecker · 2020 · Studies in computational intelligence
65. Enterprise supply chain risk assessment based on improved neural network algorithm and machine learning
    Shaoqin Lu · 2020 · Journal of Intelligent & Fuzzy Systems
66. Data Augmentation and Feature Selection for Automatic Model Recommendation in Computational Physics
    Thomas Daniel, Fabien Casenave, Nissrine Akkari, David Ryckelynck · 2021 · Mathematical and Computational Applications
67. An Implementation of the Adaptive Neuro-Fuzzy Inference System (ANFIS) for Odor Source Localization
    Lingxiao Wang, Shuo Pang · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
68. Machine-Learning-Based Rehabilitation Prognosis Prediction in Patients with Ischemic Stroke Using Brainstem Auditory Evoked Potential
    Jangjay Sohn, Il‐Young Jung, Yunseo Ku, Yeongwook Kim · 2021 · Diagnostics
69. Identification of Differential N-Glycan Compositions in the Serum and Tissue of Colon Cancer Patients by Mass Spectrometry
    Marcelo de Melo Andrade Coura, Éder Alves Barbosa, Guilherme Dotto Brand, Carlos Bloch, João Batista de Sousa · 2021 · Biology
70. Comparison on Some Machine Learning Techniques in Breast Cancer Classification
    Nurul Amirah Mashudi, Syaidathul Amaleena Rossli, Norulhusna Binti Ahmad, Norliza Mohd Noor · 2021 · IEEE-EMBS Conference on Biomedical Engineering and Sciences
71. Specific Borrmann classification in advanced gastric cancer by an ensemble multilayer perceptron network: a multicenter research
    Siwen Wang, Di Dong, Wenjuan Zhang, Hui Hu, Hailin Li, Yongbei Zhu, Junlin Zhou, Xiuhong Shan, Jie Tian · 2021 · Medical Physics
72. Early diagnosis of breast cancer by gene expression profiles
    Hanaa Salem, Gamal Attiya, Nawal Ahmed El-Fishawy · 2016 · Pattern Analysis and Applications
73. Machine learning and its application in microscopic image analysis
    Fuyong Xing, Lin Yang · 2016 · Elsevier eBooks
74. Scalable Differentially Private Generative Student Model via PATE.
    Yunhui Long, Suxin Lin, Zhuolin Yang, Carl A. Gunter, Bo Li · 2019 · arXiv (Cornell University)
75. Predicting long-term multicategory cause of death in patients with prostate cancer: random forest versus multinomial model
    Jianwei Wang, Fei Deng, Fuqing Zeng, A. Shanahan, Wei Vivian Li, Lanjing Zhang · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
76. lncRNA GAS8-AS1 downregulates lncRNA UCA1 to inhibit osteosarcoma cell migration and invasion
    Zhuqing Zha, Qingmin Han, Wenjing Liu, Shaochuan Huo · 2020 · Journal of Orthopaedic Surgery and Research
77. Multi-Modal Uterine-Activity Measurements for Prediction of Embryo Implantation by Machine Learning
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78. Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
    Xiaowei Song, Shuli Guo, Lina Han, Li Wang, Wentao Yang, Guowei Wang, Anil Baris Cekderi · 2022 · Biomedical Signal Processing and Control
79. Identification of key predictors of hospital mortality in critically ill patients with embolic stroke using machine learning
    Wei Yong Liu, Wei Ma, Na Bai, Chunyan Li, Kuang-Pin Liu, Jinwei Yang, Sijia Zhang, Kewei Zhu, Qiang Zhou, Hua Liu et al. · 2022 · Bioscience Reports
80. Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis
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81. Constrast-enhanced computed tomography radiomics predicts CD27 expression and clinical prognosis in head and neck squamous cell carcinoma
    Fang Wang, Wenhao Zhang, Ying Chai, Hanshao Wang, Zhonglong Liu, Yue He · 2022 · Frontiers in Immunology
82. Predicting unplanned readmission due to cardiovascular disease in hospitalized patients with cancer: a machine learning approach
    Sola Han, Ted J. Sohn, Boon Peng Ng, Chanhyun Park · 2023 · Scientific Reports
83. Mental Health Problems Prediction Using Machine Learning Techniques
    Jia-Pao Cheng, Su-Cheng Haw · 2023 · International Journal on Robotics Automation and Sciences
84. Material Extrusion Filament Width and Height Prediction via Design of Experiment and Machine Learning
    Xiaoquan Shi, Yazhou Sun, Haiying Tian, Puthanveettil Madathil Abhilash, Xichun Luo, Haitao Liu · 2023 · Micromachines
85. Machine learning-based classifiers to predict metastasis in colorectal cancer patients
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86. Mapping Knowledge Landscapes and Emerging Trends in AI for Dementia Biomarkers: Bibliometric and Visualization Analysis
    Wenhao Qi, Xiaohong Zhu, Danni He, Bin Wang, Shihua Cao, Chaoqun Dong, Yunhua Li, Yanfei Chen, Bingsheng Wang, Yankai Shi et al. · 2024 · Journal of Medical Internet Research
87. Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices
    Rosanna Turrisi, Alessandro Verri, Annalisa Barla · 2024 · Frontiers in Computational Neuroscience
88. Application of Fuzzy Logic in Oral Cancer Risk Assessment.
    Ioana Scrobotă, Grigore Băciuț, Gabriela Adriana Filip, Bianca Ioana Todor, Florin Blaga, Mihaela Felicia Băciuț · 2017 · Europe PMC (PubMed Central)
89. Theoretical Assessment of Cervical Cancer Using Machine Learning Methods Based on Pap-Smear Test
    Mobina keymasi, Virendra R. Mishra, Sina Aslan, Morteza Modarresi Asem · 2018 · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
90. Cancer as a Tissue Anomaly: Classifying Tumor Transcriptomes Based Only on Healthy Data
    Thomas P. Quinn, Thin Nguyen, Sam Lee, Svetha Venkatesh · 2019 · Frontiers in Genetics
91. Network modeling of patients' biomolecular profiles for clinical phenotype/outcome prediction
    Jessica Gliozzo, Paolo Perlasca, Marco Mesiti, Elena Casiraghi, Viviana Vallacchi, Elisabetta Vergani, Marco Frasca, Giuliano Grossi, Alessandro Petrini, Matteo Ré et al. · 2020 · Scientific Reports
92. Authentication of differential gene expression in oral squamous cell carcinoma using machine learning applications
    Rian Pratama, Jae Joon Hwang, Ji Hye Lee, Giltae Song, Hae Ryoun Park · 2021 · BMC Oral Health
93. Elderly Healthcare System for Chronic Ailments using Machine Learning Techniques – a Review
    R. L. Priya, S. Vinila Jinny · 2021 · Iraqi Journal of Science
94. Prediction of ameloblastoma recurrence using random forest—a machine learning algorithm
    Ruyang Wang, Kar Yan Li, Yu‐Xiong Su · 2021 · International Journal of Oral and Maxillofacial Surgery
95. RFFS : Recursive random forest feature selection based ensemble algorithm for chronic kidney disease prediction
    Prasannavenkatesan Theerthagiri, A. Usha Ruby · 2022 · Expert Systems
96. Analysis on methods to effectively improve transfer learning performance
    Honghui Xu, Wei Li, Zhipeng Cai · 2022 · Theoretical Computer Science
97. GAMB-GNN: Graph Neural Networks learning from gene structure relations and Markov Blanket ranking for cancer classification in microarray data
    Shoujia Zhang, Weidong Xie, Wei Li, Linjie Wang, Chaolu Feng · 2022 · Chemometrics and Intelligent Laboratory Systems
98. Gene expression profiles based Human cancer diseases classification
    Hanaa Salem, Gamal Attiya, Nawal Ahmed El-Fishawy · 2015 · International Computer Engineering Conference
99. Classification of spatially resolved molecular fingerprints for machine learning applications and development of a codebase for their implementation
    Mardochee Reveil, Paulette Clancy · 2018 · Molecular Systems Design & Engineering
100. Learning to Identify Severe Maternal Morbidity from Electronic Health Records
     Cheng Gao, Sarah S. Osmundson, Xiaowei Sherry Yan, Edwards Digna Velez, Bradley Malin, You Chen · 2019 · Studies in health technology and informatics