Unique machine-learning model predicts homelessness among US soldiers before their transition to civilian life

Researchers led by Massachusetts General Hospital (MGH) and Harvard Medical School (HMS) have found that lifetime depression, trauma of having a loved one murdered, and post-traumatic stress disorder (PTSD) are the three greatest predictors of homelessness among U.S. Army soldiers after transitioning to civilian life. Their study, published in American Journal of Preventive Medicine, used an innovative machine-learning approach to accurately predict which military personnel are at greatest risk and should therefore be targeted with specific interventions to mitigate their chances of becoming homeless.

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