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 ...
Inpatient clinical care teams generally use tools such as bed alarms, gait belts, closer nursing station placement and more to prevent patient falls. But those interventions can hinder clinical ...
A machine learning model based on electronic health record data can provide updated predictions of preeclampsia risk, ...
MedPage Today on MSN
Model could sound the alarm on preeclampsia risk in late pregnancy
How predictions would impact clinical decision-making is another question, expert says ...
Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
Machine learning accurately predicts peak and average IOP, aiding glaucoma management by informing treatment decisions. Random forest regression (RFR) outperformed ...
Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant risk of progressive renal impairment in a subset of patients. Early ...
An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...
The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...
Results that may be inaccessible to you are currently showing.
Hide inaccessible results