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 ...

We developed statistical and machine learning models to predict premature death from the presence of 17 chronic conditions and the patients’ age at diagnosis. We evaluated models using accuracy, ...

To mitigate this challenge, we investigate how Machine Learning (ML) techniques, including Extreme Gradient Boosting (XGBoost), Convolutional Neural Network (CNN), and Graph Neural Network (GNN) can ...

Credit: Journal of Geophysical Research: Machine Learning and Computation (2025). DOI: 10.1029/2024JH000507 Comparison of FVCOM, ML and FVCOM-ML results for storm surge prediction.

How to Build an Arduino-Based Solar Power Prediction System Using Python & Machine Learning, Part 1 Learn how to build, collect, and analyze real-time data using a low-cost data acquisition device ...

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

More information: Taichi Masuda et al, Neural network ensembles for band gap prediction, Computational Materials Science (2024). DOI: 10.1016/j.commatsci.2024.113327 Provided by Kyoto University ...