Research Will Employ Data Science to Determine Suicide Risk in Elderly

A new research program will harness machine learning and data science to sift through tens of millions of records of U.S. nursing home and assisted living residents to identify risk factors for suicide. The project will be led by Yue Li, Ph.D., in the University of Rochester Medical Center Department of Public Health Sciences and Xueya Cai, Ph.D., in the Department of Biostatistics and Computational Biology and is supported by a $1.6 million grant from the National Institute of Mental Health.

Source: University of Rochester Medical Center Press Releases - October 25, 2018 Category: Universities & Medical Training Authors: University of Rochester Medical Center Source Type: news