Machine learning Nomogram for Predicting endometrial lesions after tamoxifen therapy in breast Cancer patients
In this study, we developed and evaluated three machine learning models to accurately predict the risk of endometrial lesions in...
cancer
Application of machine learning in breast cancer survival prediction using a multimethod approach
Fitzmaurice, C. et al. Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and...
Enhancing Breast Cancer Diagnosis: A Transparent, Reproducible Workflow Using CBIS-DDSM and Advanced Machine Learning Techniques
Accessible mammography datasets and advanced machine-learning methods are key to enhancing computer-aided breast cancer diagnosis. However, limited access to private...
Benchmarking machine learning methods for synthetic lethality prediction in cancer
Benchmarking pipelineTo evaluate machine learning methods for predicting SL interactions, we selected 12 methods published in recent years, including three...
Multi-metric comparison of machine learning imputation methods with application to breast cancer survival | BMC Medical Research Methodology
Motivating example: breast cancer case studyTo apply our most effective method to a real-world situation, we used data from a...
Deep learning methods for drug response prediction in cancer: Predominant and emerging trends
1. Introduction Cancer treatment response prediction is a problem of great importance for both clinical and pharmacological research communities. Many...
