(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Morning Overview on MSN
Neural network predicts volcanic eruptions
In recent years, predictive technologies for volcanic eruptions have advanced significantly, particularly with the ...
Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that ...
Understand what Machine Learning is, how it works, and its three main types, along with some real-life examples.
1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...
News-Medical.Net on MSN
Deep learning algorithm uses mammograms and age for heart disease prediction
A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk ...
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