Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Irrespective of their personal, professional and social circumstances, different individuals can experience varying levels of life satisfaction, fulfillment and happiness. This general measure of life ...
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 ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.
In a recent study published in the eBioMedicine, a group of researchers predicted depressive symptom severity (DSS) (intensity or degree of depressive symptoms an individual is experiencing) using ...
In a recent study published in npj Science of Food, researchers developed VirtuousMultiTaste, a machine-learning tool to distinguish between sweet, umami, and bitter tastes based on a compound's ...
Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results