Predicting state level suicide fatalities in the United States with realtime data and machine learning - Patel D, Sumner SA, Bowen D, Zwald M, Yard E, Wang J, Law R, Holland K, Nguyen T, Mower G, Chen Y, Johnson JI, Jespersen M, Mytty E, Lee JM, Bauer M, Caine E, De Choudhury M.

Digital trace data and machine learning techniques are increasingly being adopted to predict suicide-related outcomes at the individual level; however, there is also considerable public health need for timely data about suicide trends at the population lev...
Source: SafetyLit - Category: International Medicine & Public Health Tags: Research Methods, Surveillance and Codes, Models Source Type: news