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The 5 % of soldiers with the model’s predicted highest risk accounted for 50 % of all main physical violent crimes, the study showed. These amounts are striking, the study’s principal investigator, Ronald Kessler, a professor of health care policy at Harvard Medical School, said in the news headlines release. They display us that predictive analytic models may pinpoint the soldiers at highest violence risk for preventive interventions. Targeting such interventions could be the best way to lower the violent crime rate in the Army, he added. The study’s co-author, John Monahan, a professor of legislation at the University of Virginia School of Law, said that it is very important recognize that severe violent crimes are uncommon even in this high-risk group.