What if people could detect cancer and other diseases with the same speed and ease of a pregnancy test or blood glucose meter ...

A breakthrough AI system could transform millions of lives—and reshape an entire industry worth more than most countries' GDP In an era where healthcare costs are bankrupting families and overwhelming ...

Abstract: People with Type 1 diabetes (T1D) require regular exogenous infusion of ... In this work, we propose a novel deep reinforcement learning model for single-hormone (insulin) and dual-hormone ...

Hypoglycemia is a serious complication in individuals with type 2 diabetes mellitus ... Nine clinically relevant features were analyzed using five machine learning models. The performance of the ...

Diabetes can be successfully overseen assuming it is distinguished early and precisely. Approaches machine - learning are exceptionally successful in the early location and expectation of diabetes.

Background: This study investigated the cost-effectiveness and clinical impact of the 3E model (education, empowerment, and economy) in diabetes management using advanced machine learning techniques .

Background: To establish a classification model for assisting the diagnosis of type 2 diabetes ... to screen features using Logistic regression, Lasso regression, or recursive feature elimination (RFE ...

A web application that predicts a person's diabetes status using a machine learning model. Built with Django and trained on the Pima Indian Diabetes dataset.