Machine learning applications in cancer prognosis and prediction

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Items 601–700 of 1,006

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    Matthew A. Shew, Jacob New, Helena Wichova, Devin C. Koestler, Hinrich Staecker · 2019 · Scientific Reports
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  5. Performance‐weighted‐voting model: An ensemble machine learning method for cancer type classification using whole‐exome sequencing mutation
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  6. Breast cancer diagnosis system using hybrid support vector machine-artificial neural network
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  8. Machine learning approaches for thermal updraft prediction in wind solar tower systems
    Mostafa A. Rushdi, Shigeo Yoshida, Koichi Watanabe, Yuji Ohya · 2021 · Renewable Energy
  9. Early breast cancer diagnostics based on hierarchical machine learning classification for mammography images
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  10. Advances in and the Applicability of Machine Learning-Based Screening and Early Detection Approaches for Cancer: A Primer
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  11. Data-centric artificial intelligence in oncology: a systematic review assessing data quality in machine learning models for head and neck cancer
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    Sandeep Kumar Hegde, Rajalaxmi Hegde, Veeranna Shivaputrayya Hombalimath, D. Palanikkumar, Neha Patwari, Dankan Gowda V · 2023 · International Conference on Smart Systems and Inventive Technology (ICSSIT)
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    Yukai Li, Huling Li, Hua Yao · 2018 · Computational and Mathematical Methods in Medicine
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    Nicolas Papernot, Thomas Steinke · 2021 · arXiv (Cornell University)
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    Dhawan, Andrew, Barberis, Alessandro, Cheng, Wei-Chen, Domingo, Enric, West, Catharine, Maughan, Tim, Scott, Jacob G., Harris, Adrian L., Buffa, Francesca M. · 2019 · Nature Protocols
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    Nikki Traylor‐Knowles, Andrew Charles Baker, Kelsey M. Beavers, Neha Garg, Jeffrey R. Guyon, Aine Hawthorn, Nicholas J. MacKnight, Mónica Medina, Laura D. Mydlarz, Esther C. Peters et al. · 2022 · Frontiers in Marine Science
  18. AI-based constitutive model simulator for predicting the axial load-deflection behavior of recycled concrete powder and steel fiber reinforced concrete column
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  19. Machine learning for genomic profiling and drug discovery in personalised lung cancer therapeutics
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  21. Breast Cancer Diagnosis Using Image Processing and Machine Learning for Elastography Images
    Mohamed Adel, Ahmed Kotb, Omar Farag, M. Saeed Darweesh, Hassan Mostafa · 2019 · International Conference on Modern Circuits and Systems Technologies
  22. Developing a Data Mining Based Model to Extract Predictor Factors in Energy Systems: Application of Global Natural Gas Demand
    Reza Hafezi, Amir Akhavan, Mazdak Zamani, Saeed Pakseresht, Shahaboddin Shamshirband · 2019 · Energies
  23. Retracted: A Review of Machine Learning Techniques for Breast Cancer Diagnosis in Medical Applications
    Praveen Tumuluru, Ch. Prasana Lakshmi, T. Sahaja, R. Prazna · 2019 · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) · Retracted
  24. Detecting Prognosis Risk Biomarkers for Colon Cancer Through Multi-Omics-Based Prognostic Analysis and Target Regulation Simulation Modeling
    Zuojing Yin, Xinmiao Yan, Qiming Wang, Zeliang Deng, Kailin Tang, Zhiwei Cao, Tianyi Qiu · 2020 · Frontiers in Genetics
  25. Artificial Intelligence in Colorectal Cancer Diagnosis Using Clinical Data: Non-Invasive Approach
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    Hua Ye, Tiandong Li, Hua Wang, Jinyu Wu, Chuncheng Yi, Jianxiang Shi, Peng Wang, Chunhua Song, Liping Dai, Guozhong Jiang et al. · 2021 · Frontiers in Immunology
  27. A Heterogeneous Ensemble Learning Method For Neuroblastoma Survival Prediction
    Yi Feng, Xianglin Wang, Juan Zhang · 2021 · IEEE Journal of Biomedical and Health Informatics
  28. Diabetes Prediction Using Machine Learning Techniques
    Sriraj Vuppala, Nuha S. Varier, Sangita Khare · 2021 · Advances in intelligent systems and computing
  29. Data analytics and artificial intelligence in predicting length of stay, readmission, and mortality: a population-based study of surgical management of colorectal cancer
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  30. Artificial intelligence-based preoperative prediction system for diagnosis and prognosis in epithelial ovarian cancer: A multicenter study
    Meixuan Wu, Yaqian Zhao, Xuhui Dong, Yue Jin, Shanshan Cheng, Nan Zhang, Shilin Xu, Sijia Gu, Yongsong Wu, Jiani Yang et al. · 2022 · Frontiers in Oncology
  31. An Assessment of the Predictive Performance of Current Machine Learning–Based Breast Cancer Risk Prediction Models: Systematic Review
    Ying Gao, Shu Li, Yujing Jin, Lengxiao Zhou, Shaomei Sun, Xiaoqian Xu, Shuqian Li, Hongxi Yang, Qing Zhang, Yaogang Wang · 2022 · JMIR Public Health and Surveillance
  32. Missing value imputation for breast cancer diagnosis data using tensor factorization improved by enhanced reduced adaptive particle swarm optimization
    Atefeh Nekouie, Mohammad Hossein Moattar · 2018 · Journal of King Saud University - Computer and Information Sciences
  33. Oriented Feature Selection SVM Applied to Cancer Prediction in Precision Medicine
    Yang Shen, Chunxue Wu, Cong Liu, Yan Wu, Naixue N. Xiong · 2018 · IEEE Access
  34. Machine learning for forecasting the biomechanical behavior of orthopedic bone plates fabricated by fused deposition modeling
    Shrutika Sharma, Vishal Gupta, Deepa Mudgal, Vishal Srivastava · 2023 · Rapid Prototyping Journal
  35. Comparative study of machine learning and statistical survival models for enhancing cervical cancer prognosis and risk factor assessment using SEER data
    Anjana Eledath Kolasseri, B Venkataramana · 2024 · Scientific Reports
  36. Breast Cancer Diagnosis and Prognosis Using Machine Learning Techniques
    Sunil Suresh Shastri, Priyanka C. Nair, Deepa Gupta, Ravi C. Nayar, Raghavendra Rao, Amritanshu Ram · 2017 · Advances in intelligent systems and computing
  37. A Research Roadmap: Connected Health as an Enabler of Cancer Patient Support
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  38. Predicting molecular ordering in a binary liquid crystal using machine learning
    Takuya Inokuchi, Ryosuke Okamoto, Noriyoshi Arai · 2019 · Liquid Crystals
  39. Stable isotope resolved metabolomics classification of prostate cancer cells using hyperpolarized NMR data
    Anne Birk Frahm, Pernille Rose Jensen, Jan Henrik Ardenkjær‐Larsen, Demet Yigit, Mathilde H. Lerche · 2020 · Journal of Magnetic Resonance
  40. Guided parallelized stochastic gradient descent for delay compensation
    Anurag Sharma · 2021 · Applied Soft Computing
  41. Detection of Lung Cancer using Machine Learning Techniques Based on Routine Blood Indices
    Puneet Puneet, Anamika Chauhan · 2020 · International Conference for Innovation in Technology (INOCON)
  42. Computer auxiliary diagnosis technique of detecting cholangiocarcinoma based on medical imaging: A review
    Shiyu Wang, Xiang Liu, Jingwen Zhao, Yiwen Liu, Shuhong Liu, Yisi Liu, Jingmin Zhao · 2021 · Computer Methods and Programs in Biomedicine
  43. Multimetric feature selection for analyzing multicategory outcomes of colorectal cancer: random forest and multinomial logistic regression models
    Catherine H. Feng, Mary Lenora Disis, Chao Cheng, Lanjing Zhang · 2021 · Laboratory Investigation
  44. Scarcity of publicly available oral cancer image datasets for machine learning research
    Namrata Sengupta, Sachin Chakradhar Sarode, Gargi Sachin Sarode, Urmi Ghone · 2022 · Oral Oncology
  45. The performance of various machine learning methods for Parkinson’s disease recognition: a systematic review
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  46. Development and Validation of a Risk Prediction Model for Venous Thromboembolism in Lung Cancer Patients Using Machine Learning
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  47. Statistical models versus machine learning for competing risks: development and validation of prognostic models
    Georgios Kantidakis, Hein Putter, Saskia Litière, Marta F. Fiocco · 2023 · BMC Medical Research Methodology
  48. Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study
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  49. Prediction models for estimation of survival rate and relapse for breast cancer patients
    Bojana Andjelkovic Cirkovic, Aleksandar Cvetković, Srdjan M. Ninkovic, Nenad Filipović · 2015 · IEEE International Conference on Bioinformatics and Bioengineering (BIBE)
  50. RETRACTED ARTICLE: An intelligent computer-aided approach for target protein prediction in infectious diseases
    D. Narmadha, A. Pravin · 2020 · Soft Computing · Retracted
  51. Solving an Optimal Control Problem of Cancer Treatment by Artificial Neural Networks.
    F. Heydarpour, Elham Abbasi, Mohammad Javad Ebadi, Seyed Mahdi Karbassi · 2020 · International Journal of Interactive Multimedia and Artificial Intelligence
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  53. A State-of-the-Art Review of Artificial Intelligence (AI) Applications in Healthcare: Advances in Diabetes, Cancer, Epidemiology, and Mortality Prediction
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  55. Automated Machine Learning Diagnostic Support System as a Computational Biomarker for Detecting Drug-Induced Liver Injury Patterns in Whole Slide Liver Pathology Images
    Munish Puri · 2019 · Assay and Drug Development Technologies
  56. LncRNA WT1-AS up-regulates p53 to inhibit the proliferation of cervical squamous carcinoma cells
    Yunxia Zhang, Renhua Na, Wang Xl · 2019 · BMC Cancer
  57. Machine learning can accurately predict pre-admission baseline hemoglobin and creatinine in intensive care patients
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  58. A snapshot neural ensemble method for cancer-type prediction based on copy number variations
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  59. Clustering of Largely Right-Censored Oropharyngeal Head and Neck Cancer Patients for Discriminative Groupings to Improve Outcome Prediction
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  61. DLHub: Simplifying publication, discovery, and use of machine learning models in science
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  62. Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up
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  63. Addressing Measurement Error in Random Forests Using Quantitative Bias Analysis
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  65. Relation-Aware Shared Representation Learning for Cancer Prognosis Analysis With Auxiliary Clinical Variables and Incomplete Multi-Modality Data
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  66. Pancreatic Cancer Survival Prediction: A Survey of the State-of-the-Art
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  67. Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data
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  68. Evaluation of Recursive Feature Elimination and LASSO Regularization-based optimized feature selection approaches for cervical cancer prediction
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  75. Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer
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  85. Artificial intelligence-guided design of lipid nanoparticles for mRNA delivery
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  90. Use of machine learning in the forecast of clinical consequences of cancer diseases
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  95. Machine Learning for Prediction of Survival Outcomes with Immune-Checkpoint Inhibitors in Urothelial Cancer
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  97. DEEPORCD: Detection of Oral Cancer using Deep Learning
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