New Models Improve Cardiac Risk Prediction and Reveal Non-Medical Risk Factors
July 07, 2024
July 07, 2024
SEATTLE, Washington, July 7 (TNSres) -- The University of Washington's School of Public Health - Department of Biostatistics issued the following news:
A recent study used machine-learning models to analyze medical records in an effort to identify risk factors for out-of-hospital cardiac arrests (OHCA). The findings, which appeared in the journal Circulation, not only revealed significant non-medical indicators of OHCA risk but showed that the models used were better at predicting O . . .
A recent study used machine-learning models to analyze medical records in an effort to identify risk factors for out-of-hospital cardiac arrests (OHCA). The findings, which appeared in the journal Circulation, not only revealed significant non-medical indicators of OHCA risk but showed that the models used were better at predicting O . . .