Nature

Machine learning models with SHAP for performance prediction of eco-friendly fiber reinforced mortars with glass waste

Artificial intelligence and machine learning are increasingly applied in civil engineering to predict material performance and optimize mix design. This study compares three ensemble learning ...
Nature

Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation

Atrial fibrillation (AF) is the most common sustained arrhythmia and a leading cause of ischemic stroke. Existing risk scores, such as CHAâ‚‚DSâ‚‚-VASc, offer limited predictive accuracy and fail to ...
Infectious Disease Advisor

Machine Learning-Based Model May Predict In-Hospital CAP Mortality

A machine learning (ML)-based model may aid in-hospital community-acquired pneumonia (CAP) mortality prediction, according to study findings published in Respiratory Medicine. Res ...
Technology Networks

A Better Way to Model the Behavior of Metal Alloys

Discover how a new technique that captures chemical arrangements across materials can improve predictions of how complex ...

Even weak ocean models can provide valuable information for environmental forecasts, study shows

Oxygen depletion in the western Baltic Sea is not uncommon. Oxygen-poor conditions regularly occur in deeper waters, placing ...

Interpretable AI in materials discovery: Uncovering how models make predictions

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has ...
InsuranceNewsNet

New Machine Learning Study Findings Reported from Youngstown State University (Machine Learning and Frequency-Severity Decomposition for Insurance Pricing): Machine Learning

By a News Reporter-Staff News Editor at Insurance Daily News-- Current study results on artificial intelligence have been published. According to news reporting out of Youngstown, Ohio, by NewsRx ...
EurekAlert!

Improving AI models’ ability to explain their predictions

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...
Frontiers

Advancing Machine Learning for Space Weather Forecasting: Integrating Solar Observations, Geomagnetic Storm Prediction, and GNSS Ionospheric Forecasting

Space weather forecasting remains a major challenge in heliophysics, as geomagnetic storms continue to pose significant risks to satellite operations, power ...
News Medical

AI models may amplify bias in psychiatric aggression predictions

A first-of-its-kind study led by researchers at the Centre for Addiction and Mental Health (CAMH) has found that artificial intelligence (AI) models used to predict aggressive incidents in acute ...
Medindia

How Accurate Is Machine Learning in Predicting Breast Cancer Recovery?

A machine learning study of 4,776 women found AI can predict physical, emotional, and social outcomes after breast cancer ...

Machine learning model improves accuracy of liquid biopsy results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise in liquid biopsy samples, helping clinicians better match therapies to ...