A Cancer Survival Calculator Is Being Developed Using Artificial Intelligence | ACS
Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman | Journal of General Internal Medicine
Accuracy of the online prognostication tools PREDICT and Adjuvant! for early-stage breast cancer patients younger than 50 years - ScienceDirect
Frontiers | Prediction of Breast Cancer Recurrence Using a Deep Convolutional Neural Network Without Region-of-Interest Labeling
PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants | npj Breast Cancer
PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants | npj Breast Cancer
Prediction of Breast Cancer using Machine Learning Approaches
Validity of the prognostication tool PREDICT version 2.2 in Japanese breast cancer patients - Zaguirre - 2021 - Cancer Medicine - Wiley Online Library
Applications of Machine Learning in Cancer Prediction and Prognosis - Joseph A. Cruz, David S. Wishart, 2006
Accuracy of the online prognostication tools PREDICT and Adjuvant! for early-stage breast cancer patients younger than 50 years - ScienceDirect
Machine learning and AI in cancer prognosis | JMDH
Machine learning application in personalised lung cancer recurrence and survivability prediction - Computational and Structural Biotechnology Journal
Frontiers | A Risk Stratification Model for Predicting Overall Survival and Surgical Benefit in Triple-Negative Breast Cancer Patients With de novo Distant Metastasis
Correlation between Nottingham Prognostic Index and Adjuvant! Online prognostic tools in patients with early-stage breast cancer in Mid-Western Ireland. | Semantic Scholar
Interactive online consensus survival tool for esophageal squamous cell carcinoma prognosis analysis
Diagnosis and prognosis of breast cancer by high-performance serum metabolic fingerprints | PNAS
Electronics | Free Full-Text | A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches
Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study | The BMJ
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
5 Years, Still Alive – The Mental Breast
Predicting better
An updated PREDICT breast cancer prognostic model including the benefits and harms of radiotherapy | npj Breast Cancer
Journal of Clinical Oncology on X: "Development and validation of a new prognostic tool (RSClin) to individualize prognosis and prediction of chemotherapy benefit in early breast cancer https://t.co/omkWz15j05 #bcsm #JCO https://t.co/mCuadjoaud" /
JPM | Free Full-Text | Breast Cancer Type Classification Using Machine Learning
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
