High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning - Dhaubhadel S, Ganguly K, Ribeiro RM, Cohn JD, Hyman JM, Hengartner NW, Kolade B, Singley A, Bhattacharya T, Finley P, Levin D, Thelen H, Cho K, Costa L, Ho YL, Justice AC, Pestian J, Santel D, Zamora-Resendiz R, Crivelli S, Tamang S, Martins S, Trafton J, Oslin DW, Beckham JC, Kimbrel NA, McMahon BH.

We present an ensemble transfer learning method to predict suicide from Veterans Affairs (VA) electronic medical records (EMR). A diverse set of base models was trained to predict a binary outcome constructed from reported suicide, suicide attempt, and ove...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Economics of Injury and Safety, PTSD, Injury Outcomes Source Type: news