A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Roughly 55 percent of Medicaid enrollees are working full or part time, and a number aren’t eligible for health insurance ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

Objective To estimate the prevalence of potential overtreatment of type 2 diabetes mellitus (T2DM) among older adults and to develop and compare predictive models to identify patient and physician ...

In A Nutshell Researchers used a machine learning model to rank all 50 U.S. states and Washington, D.C. by socioeconomic vulnerability to flu-like illness, finding wide regional variation in risk.

Nocturnal hypoglycemia (NH) is a common adverse event in elderly patients with type 2 diabetes (T2D). This study aims to develop a clinically applicable model for predicting the risk of NH in elderly ...

Gestational diabetes mellitus (GDM), a prevalent metabolic disorder associated with pregnancy, which often postpones intervention until after metabolic complications have developed. This study seeks ...

Gameday is nearly here. A big weekend is on the horizon for the Virginia Cavaliers as they host Wake Forest. Eyes will be glued to the television screen as the host their fifth gam in primetime this ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

Abstract: The amalgamation of IoT with machine learning techniques presents an innovation in the healthcare sector by offering novel approaches to disease prediction and management. The work describes ...