Type 2 diabetes prevention could more than halve carbon footprint linked to disease complications

Preventing high blood glucose (pre-diabetes) from turning into type 2 diabetes with lifestyle changes could more than halve ...

AI model detects prediabetes using ECG data without need for blood tests

DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
IEEE

Improving Accuracy of Diabetes Prediction Using Machine Learning Techniques and Clinical Data

Abstract: Diabetes is a chronic condition affecting millions of people globally, requiring early and accurate prediction to mitigate associated health risks. This study employed a Kaggle dataset with ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Frontiers

Explainable machine learning model of coronary artery disease combined with diabetes: development and validation study

Background: Coronary artery disease (CAD) demonstrates a strong bidirectional association with diabetes mellitus, which not only elevates cardiovascular disease risk but also correlates with poorer ...
GitHub

Diabetes Prediction Using Machine Learning

Diabetes affects over 537 million adults globally, with early detection critical for effective treatment and management. This project develops a machine learning classification model to predict ...
IEEE

Heart Disease Identification Using Machine Learning Algorithm

Abstract: After all advancements in technology and times, prediction and prevention of heart diseases is still a major issue in modern days. Heart diseases play a major role in high death rate in ...
GitHub

Diabetes Risk Prediction Platform

Given features such as age, glucose, insulin, and body mass index, predict whether an individual is non-diabetic, type-1-like, or type-2-like. The system must support experimentation with different ...