Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...

Artificial intelligence is rapidly reshaping preventative healthcare in South Africa, offering new ways to detect disease ...

Sweat patches may one day be the status quo for medical tests ranging from glucose monitoring to drug detection. In A Nutshell No more needles: Scientists can now detect diseases like diabetes, ...

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 recent surge in demand for timely and accurate health information has highlighted the need for more advanced data analysis tools. To reduce the incidence of preventable medical errors, ...

Objective: To develop a self-reportable risk assessment tool for elderly type 2 diabetes mellitus (T2DM) patients, evaluating risks of diabetic nephropathy (DN), retinopathy (DR), peripheral ...

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...

Abstract: Diabetes Mellitus, the scientific name for diabetes, is a chronic metabolic disease that has various health effects on individuals all over the world. Diabetes is like a silent killer that ...

Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...

CHICAGO, June 20, 2025 /PRNewswire/ -- Developments from two studies highlighting the potential for machine learning leveraging artificial intelligence (AI) technology to improve early-stage ...