An asthma risk score using 7 clinically relevant parameters evaluated in a pediatric Medicaid managed care population can stratify risk for following-year asthma hospitalization. Objectives: ...

The authors created a machine learning–based model to identify patients with major depressive disorder in the primary care setting at high risk of frequent emergency department visits, enabling ...

Read more about From disease detection to biomass forecasting: AI improves aquaculture risk strategy on Devdiscourse ...

When people participate in studies of aging, they often want to know what their individual risks of developing dementia from Alzheimer's disease are. Washington University researchers have developed ...

New research can transform how hospitals triage, risk-stratify, and counsel patients to save lives. Mount Sinai researchers studying a type of heart disease known as hypertrophic cardiomyopathy (HCM) ...

Please provide your email address to receive an email when new articles are posted on . “Although some people who experience trauma are at high risk for developing PTSD, the majority of the 139 ...

An automated machine learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the University of Manitoba has been able to identify potential cardiovascular ...

A new algorithm developed by researchers at Columbia University can analyze thousands of variants across the genome and estimate a person's risk of developing chronic kidney disease -- and it works in ...

A new study of Veterans Health Administration data shows that the Care Assessment Needs (CAN) algorithm — a tool used to predict whether veterans will be hospitalized or die in the 90 days after their ...

A new algorithm aims to assess the likelihood of defendants being treated unfairly in court. The tool considers details that ought to be immaterial to the ruling — such as the judge’s and defendant’s ...