Applications of Machine Learning in Cancer Prediction and Prognosis - Joseph A. Cruz, David S. Wishart, 2006
Comparison of Nottingham Prognostic Index and Adjuvant Online prognostic tools in young women with breast cancer: review of a single-institution experience – topic of research paper in Health sciences. Download scholarly article
Improving the performance of support-vector machine by selecting the best features by Gray Wolf algorithm to increase the accuracy of diagnosis of breast cancer | Journal of Big Data | Full Text
A 23 gene–based molecular prognostic score precisely predicts overall survival of breast cancer patients - eBioMedicine
Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database | PLOS ONE
PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants | npj Breast Cancer
![PDF] Breast cancer treatment in women over the age of 80: A tailored approach. | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/e42159fc5744daa5cc648d73fc79d0afdca22c21/2-Table1-1.png "PDF] Breast cancer treatment in women over the age of 80: A tailored approach. | Semantic Scholar")
PDF] Breast cancer treatment in women over the age of 80: A tailored approach. | Semantic Scholar
Machine learning and AI in cancer prognosis | JMDH
Prediction of Breast Cancer using Machine Learning Approaches
Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman | Journal of General Internal Medicine
Machine learning application in personalised lung cancer recurrence and survivability prediction - Computational and Structural Biotechnology Journal
Accuracy of the online prognostication tools PREDICT and Adjuvant! for early-stage breast cancer patients younger than 50 years - ScienceDirect
Predicting factors for survival of breast cancer patients using machine learning techniques | BMC Medical Informatics and Decision Making | Full Text
PDF) Development and validation of the PORTRET tool to predict recurrence, overall survival, and other-cause mortality in older patients with breast cancer in the Netherlands: a population-based study
Validity of the online PREDICT tool in older patients with breast cancer: a population-based study | British Journal of Cancer
Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques | SN Computer Science
Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis
Frontiers | Prediction of Breast Cancer Recurrence Using a Deep Convolutional Neural Network Without Region-of-Interest Labeling
Circulating Tumor Cells, Disease Progression, and Survival in Metastatic Breast Cancer | NEJM
Predicting better
Predicting better
PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients | Breast Cancer Research | Full Text
Electronics | Free Full-Text | A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches
Predicting Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy Using a Deep Convolutional Neural Network–Based Artificial Intelligence Tool | JCO Clinical Cancer Informatics
Development and validation of the PORTRET tool to predict recurrence, overall survival, and other-cause mortality in older patients with breast cancer in the Netherlands: a population-based study - The Lancet Healthy Longevity
Diagnosis and prognosis of breast cancer by high-performance serum metabolic fingerprints | PNAS
