Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

The prediction performance of the XGBoost model was compared with three other machine learning models by the area under the curve. We used the SHAP method to explain the XGBoost model. Results: A ...

Abstract: The ability to predict the radioactive soil radon gas concentration is important for human beings because it serves as a precursor to earthquakes. Several studies have been conducted across ...

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study ...

Abstract: In software development systems, the maintenance process of software systems attracted the attention of researchers due to its importance in fixing the defects discovered in the software ...

From Stock-to-Flow and Power Law to NVT ratios and machine learning, the most common crypto prediction models each carry ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

An artificial intelligence (AI) machine-learning model has been developed that can predict the risk of early death in trauma ...

A machine learning-powered forecast from Finbold AI Agent has projected a modest decline in Nvidia (NASDAQ: NVDA) stock by ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...