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 ...
Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...
A machine learning model, T1GRS, that used 160 genetic risk signals identified by researchers, improved prediction of type 1 diabetes (T1D) compared to a previous genetic risk score (GRS) in Europeans ...
A novel machine learning-based risk assessment tool successfully identified hospitalized patients at risk for acute kidney injury (AKI) and triggered early nephrology consultation, but the ...
A data-driven financial risk framework integrates big data, machine learning, statistical modeling, and visualization ...
Can artificial intelligence spot women at risk for preterm birth—before symptoms appear? With preterm birth (PTB) still a ...
A novel machine learning system effectively stratifies emergency department use and hospitalization risk of older patients with multimorbidity who take multiple medications and provides appropriate ...
Financial institutions need model risk management software that can discover hidden spreadsheets and EUCs, govern formal statistical and ...
A machine-learning tool built from Swedish national health registry data can predict hip fracture risk with high accuracy ...
IMDRF finalizes good machine learning practice, software risk documents The International Medical Device Regulators Forum (IMDRF) on Wednesday finalized two highly anticipated technical documents ...
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