Machine Learning Predicts Violent Crimes

In 2014, the San Francisco Chronicle recounted the 2012 death of Kristy Huddleston, who died after suffering a gunshot wound to the head from her husband, Bourne Huddleston, a veteran of Iraq and Afghanistan. The piece reported combat veterans are responsible for 21% of domestic violence nationwide. Additionally, veterans account for 20% of U.S. suicides. The U.S. Army and the National Institute of Mental Health have partnered to conduct the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS), the largest study aimed at promoting health, reducing risk and preventing suicides. A new report published in Psychological Medicine suggests big data may help predict which Army personnel are likely to perpetrate violent crimes. According to the researchers, between 305 and 399 violent crimes were committed per year between…


Link to Full Article: Machine Learning Predicts Violent Crimes

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!