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 Cool Down on MSN

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

"This will allow doctors to make more informed decisions about the best way to treat patients." ...
Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Timing exercise to match body clock chronotype may lower cardiovascular disease risk

Timing exercise to match body clock chronotype—the natural predisposition to morning or evening alertness—may lower ...
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 ...