AI tool can detect missed Alzheimer's diagnoses while reducing disparities

Researchers at UCLA have developed an artificial intelligence tool that can use electronic health records to identify ...

AI-based tool predicts future cardiovascular events in patients with angina

Reduced coronary blood flow, measured with an artificial intelligence-based imaging tool, predicted future cardiovascular ...
The New York Times

Week 10 fantasy football intel, predictions using player prop lines

Rico Dowdle is the undisputed No. 1 in Carolina. Can he top 100 rushing yards again? Cory Knowlton / Imagn Images Though they’re ultimately two different lenses, sports betting can provide some smart ...
IEEE

Diabetes Prediction using Deep Ensemble Network

Abstract: Timely diabetes detection is crucial for effective management and minimizing complications. This research presents a novel framework for early diabetes diagnosis, combining DeepEnsembleNet's ...
Frontiers

Enhanced diabetes prediction using skip-gated recurrent unit with gradient clipping approach

Diabetes mellitus is a metabolic disorder categorized using hyperglycemia that results from the body’s inability to adequately secrete and respond to insulin. Disease prediction using various machine ...
Scientific Research Publishing

El Jerjawi, N.S. and Abu-Naser, S.S. (2018) Diabetes Prediction Using Artificial Neural Network. International Journal of Advanced Science and Technology, 121, 55-64.

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 ...
IEEE

Diabetes Prediction Using Stacking Ensemble Model

Abstract: Diabetes is one of the longterm conditions that are becoming common with every passing year. The problems arise when diabetes can't be detected early and dealt with timely. The prediction ...
Managed Healthcare Executive

Positive Results for Using AI to Detect Type 1 Diabetes Early

Results presented at the 85th Scientific Sessions of the American Diabetes Association in Chicago highlight the potential for AI to detect disease before signs and symptoms occur. Two studies ...