Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior

Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior

Risk assessment of suicidal behavior is a time-consuming but notoriously inaccurate activity for mental health services globally. In the last 50 years a large number of tools have been designed for suicide risk assessment, and tested in a wide variety of populations, but studies show that these tool...

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Bibliographic Details
Main Authors: Sumithra Velupillai, Gergö Hadlaczky, Enrique Baca-Garcia, Genevieve M. Gorrell, Nomi Werbeloff, Dong Nguyen, Rashmi Patel, Daniel Leightley, Johnny Downs, Matthew Hotopf, Rina Dutta
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-02-01
Series:Frontiers in Psychiatry
Subjects:
suicide risk prediction
suicidality
suicide risk assessment
clinical informatics
machine learning
natural language processing
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2019.00036/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyt.2019.00036/full

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