Mining Military Data to Predict Violent Offenders

Researchers at Harvard University’s medical school and other institutions studying post-traumatic stress disorder and other mental health issues plaguing American war veterans report they have developed an “actuarial model” based on machine learning that can help predict future violent crimes by U.S. soldiers.The researchers noted that their model based on an administrative dataset of more than 975,000 U.S. soldiers could help pinpoint those most prone to violent crime. That information could then be used to make existing interventions more effective. A U.S. Army database was created between 2004 and 2009 to study patterns in returning soldiers called the “Army Study to Assess Risk and Resilience in Servicemembers.” The database revealed that 5,771 returning soldiers committed violent crimes during the study period, ranging from murder and aggravated assault to arson and…


Link to Full Article: Mining Military Data to Predict Violent Offenders