HealthDay on MSN

Machine learning model accurately predicts pregnant women at risk for preeclampsia

A machine learning model based on electronic health record data can provide updated predictions of preeclampsia risk, ...
News Medical on MSN

Machine learning model predicts chemical reactions to accelerate drug discovery

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

Machine learning can predict preeclampsia by week 34 of pregnancy

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
Electronics For You

AI Method Explains Model Predictions

MIT researchers introduce a technique that improves how AI systems explain their predictions, helping users assess trust in ...
Medscape

New Machine Learning Model Predicts In-Hospital Mortality in Acute Liver Failure

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
ascopubs.org

Training, Validating, and Testing Machine Learning Prediction Models for Endometrial Cancer Recurrence

NOTE. These are the baseline variables determined at treatment completion and included in the analysis. Abbreviations: CIN, cervical intraepithelial neoplasia; COPD, chronic obstructive pulmonary ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
EurekAlert!

AI-optimized decision-making in energy systems: a new approach to integrating machine learning and mathematical programming

Discover how a new AI system is revolutionizing energy management by merging machine learning and mathematical programming. This innovative approach not only boosts prediction accuracy but also ...