An analysis of 12 years of data collected from over 500 hospitals in 25 different U.S. states shows that weather, geographic location, and urban or rural location all appear to influence hospitalizations for waterborne infectious diseases, according to a new study by researchers at Columbia University in the open-access journal PLOS Water.
Machine Learning Model Accurately Identifies High-Risk Surgical Patients
A machine learning model trained, tested, and evaluated with data from 1,477,561 patients was accurate at identifying those who were at high risk for mortality