Nature

Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer

For endocrine-positive Her2 negative breast cancer patients at an early stage, the benefit of adding chemotherapy to adjuvant endocrine therapy is not still confirmed. Several genomic tests are ...
Nature

Survival prediction models for people living with HIV based on four machine learning models

Although antiretroviral therapy has prolonged the lifespan of people living with HIV, significant variations still exist in survival rates and risk factors among these people. This study compares the ...
ascopubs.org

Risk Stratification Using Tree-Based Models for Recurrence-Free Survival in Breast Cancer

Randomized Trial of Fixed-Dose Capecitabine Compared With Standard-Dose Capecitabine in Metastatic Breast Cancer: X-7/7 Trial Data were obtained from the Northwell Health cancer registry for patients ...
ascopubs.org

Interactive Use of Cox Model–Predicted Survival Curves: An Application Using ACS10 Score and Age to Personalize Treatment of Pediatric AML

Timing of Adjuvant Chemotherapy After Gastrectomy in Patients With Stage II to III Gastric Cancer: A Target Trial Emulation Study We created a publicly available software library, shinyCox, that can ...