Morning Overview on MSN

Many AI disease-risk models trained on flawed health data

Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...

Korean women with CVD face gaps in risk factor control, study finds

Korean women with heart disease showed higher awareness and treatment of major risk factors, but lower control rates, ...
IEEE

Classification of Some Heart Diseases Using Machine Learning Algorithms

Abstract: Heart illness is one of the most widely common sicknesses overall and is the primary wellspring of death; various sorts of coronary illness can be distinguished through numerous clinical ...
The American Journal of Managed Care

PREVENT Equations Show Strong CVD Risk Prediction in EHR Data Despite Missing Information

EHR validation in 406,230 “relaxed” and 127,151 “strict” patients showed stable PREVENT discrimination across sexes, ...

New AI tool can predict heart failure five years early with 86% accuracy

Experts at the University of Oxford have found a way to use artificial intelligence to predict the future as part of ...
IEEE

Predicting Student Performance Using Machine Learning Techniques: A Systematic Literature Review

Abstract: Predicting students' academic achievement is a difficult and challenging task, especially with the advancement of machine learning technology. However, despite the belief that learning ...