Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...

An error has occurred. Please try again. With a The Portland Press Herald subscription, you can gift 5 articles each month. It looks like you do not have any active ...

Abstract: Position of football players is a key aspect that should not be underestimated regarding the efforts of teams to optimize their performance, game scouting, and game strategy. The proposed ...

In 2026, we will see the beginning of precision medical forecasting. Just as there have been remarkable advances in weather forecasting with the use of large language models, so will there be for ...

Of the ML models, the XGBoost had the best performance, with an AUC of 0.941 on the training set and an AUC of 0.775 on the internal validation set. The combination of clinical data with machine ...

Introduction: The rapid and accurate identification of natural and non-natural seismic events is crucial for compiling comprehensive earthquake catalogs and assessing regional seismic risk. Methods: ...