ascopubs.org

Machine Learning Model for Predicting Severe Adverse Events in Oncology Patients Using the US Food and Drug Administration Adverse Event Reporting System

Cost-Effectiveness of Maintaining Higher Stem-Cell Collection Thresholds in the Chimeric Antigen Receptor T-Cell Era for Multiple Myeloma Predicting severe adverse events (SAEs) in oncology is ...
Healio

Q&A: Predicting how CPAP may impact cardiovascular disease event risk in OSA

A model made using machine learning can predict if CPAP use in patients with obstructive sleep apnea will benefit or harm ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Envirotech Online

Low-cost IoT sensor system uses on-device machine learning to classify water contamination events in real time

A low-cost water quality monitoring system capable of distinguishing between different types of contamination events in real ...