A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Older adults experience inconsistent outpatient COVID-19 antiviral prescribing despite high risk for severe outcomes and hospitalization.
Billings Clinic investigators tracked trauma patients arriving directly from the scene versus patients transferred between ...
Medicaid managed care organizations should prioritize children in low-opportunity neighborhoods to optimize health care utilization, improve minority health, and address health-related social needs.
Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
TEM rolls out new AI tools across oncology, cardiology and mental health, accelerating its push to reshape MedTech innovation ...
A study of over 16,000 adults in England and Scotland finds a significant positive association between gambling frequency and the risk for gambling-related harm.
A steady slide into frailty is the story many people tell themselves about old age. The numbers in a long-running federal ...
Introduction The Netherlands implemented a supermarket tobacco sales ban on 1 July 2024. This study aimed to evaluate ...
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