StudyFinds on MSN

AI map ranks US states by socioeconomic flu vulnerability

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.

This scientist is racing to predict deadly volcanic mudslides

One of the most deadly and dangerous volcano hazards isn’t lava. Mudflows called lahars can come without clear warning.
Renal & Urology News

Machine Learning Helps Predict MPA Exposure in Childhood-Onset Lupus Nephritis

This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.
IEEE

High accuracy Diabetes Prediction Using Logistic Regression

Abstract: Diabetes affects 537 million people worldwide, making it the deadliest and most frequent noncommunicable disease. According to studies on diabetes patients, the prevalence of diabetes in ...
IEEE

An Explainable Ai Model for Diabetes Prediction Using Random Forest

Abstract: Diabetes is a chronic metabolic disorder caused by insufficient insulin production or ineffective insulin utilization, resulting in elevated blood glucose levels. As a major global health ...
The Lancet

Prediction models for high-grade cervical lesions or worse using machine learning

aDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden bCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and ...