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
PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants | npj Breast Cancer
Diagnosis and prognosis of breast cancer by high-performance serum metabolic fingerprints | PNAS
Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques | SN Computer Science
Predicting better
A Cancer Survival Calculator Is Being Developed Using Artificial Intelligence | ACS
Machine learning application in personalised lung cancer recurrence and survivability prediction - Computational and Structural Biotechnology Journal
5 Years, Still Alive – The Mental Breast
Evaluation of machine learning algorithms for the prognosis of breast cancer from the Surveillance, Epidemiology, and End Results database | PLOS ONE
JPM | Free Full-Text | Breast Cancer Type Classification Using Machine Learning
Circulating Tumor Cells, Disease Progression, and Survival in Metastatic Breast Cancer | NEJM
Predicting factors for survival of breast cancer patients using machine learning techniques | BMC Medical Informatics and Decision Making | Full Text
Accuracy of the online prognostication tools PREDICT and Adjuvant! for early-stage breast cancer patients younger than 50 years - ScienceDirect
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" /
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
Overall survival (OS) in patients with metastatic breast cancer... | Download Scientific Diagram
![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
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
PREDICT validity for prognosis of breast cancer patients with pathogenic BRCA1/2 variants | npj Breast Cancer
Predicting Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy Using a Deep Convolutional Neural Network–Based Artificial Intelligence Tool | JCO Clinical Cancer Informatics
Predicting better
