A data-driven financial risk framework integrates big data, machine learning, statistical modeling, and visualization ...

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 ...

A machine-learning tool built from Swedish national health registry data can predict hip fracture risk with high accuracy ...

Financial institutions need model risk management software that can discover hidden spreadsheets and EUCs, govern formal statistical and ...

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 ...

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 novel machine learning system effectively stratifies emergency department use and hospitalization risk of older patients with multimorbidity who take multiple medications and provides appropriate ...

A machine-learning tool built from Swedish national health registry data can predict hip fracture risk with high accuracy and no in-person assessment ...

IMDRF finalizes good machine learning practice, software risk documents The International Medical Device Regulators Forum (IMDRF) on Wednesday finalized two highly anticipated technical documents ...

A machine learning model can predict overactive bladder (OAB) risk in women using common reproductive and sociodemographic ...