ascopubs.org

Using machine learning to predict mortality in older patients with cancer: Decision tree and random forest analyses from the ELCAPA and ONCODAGE prospective cohorts.

Prediction of treatment (tx)-induced fatigue in breast cancer (BC) patients (pts) using machine learning on genome-wide association (GWAS) data in the prospective CANTO cohort. This is an ASCO Meeting ...
Scientific Research Publishing

Analysis of Decision Support Systems (DSS) Integration with AI Using Mobile Health (m-Health) and Wearables ()

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...
EurekAlert!

Computational methods revolutionize drug discovery by predicting protein target sites

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...
JSTOR Daily

Machine-Learning Algorithms to Code Public Health Spending Accounts

Objectives:Government public health expenditure data sets require time- and labor-intensive manipulation to summarize results that public health policy makers can use. Our objective was to compare the ...