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 Diagnostic Cost Group (DCG) machine learning algorithm succeeded in generating risk adjustment models and predicted healthcare spending better than the current HHS hierarchical condition category ...
Sleep-stage dynamics predicted sleep-disordered breathing and future cardiovascular risk over 10 years. Read more.
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 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 ...
IMDRF finalizes good machine learning practice, software risk documents The International Medical Device Regulators Forum (IMDRF) on Wednesday finalized two highly anticipated technical documents ...
Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Consecutive inpatients who underwent ...
Ultrahuman is working on a first for mainstream smart rings, bringing fall detection—and, more significantly, fall risk ...
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