Recognizing states of psychological vulnerability to suicidal behavior: a Bayesian network of artificial intelligence applied to a clinical sample

Recognizing states of psychological vulnerability to suicidal behavior: a Bayesian network of artificial intelligence applied to a clinical sample

Abstract Background This study aimed to determine conditional dependence relationships of variables that contribute to psychological vulnerability associated with suicide risk. A Bayesian network (BN) was developed and applied to establish conditional dependence relationships among variables for eac...

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Bibliographic Details
Main Authors: Jorge Barros, Susana Morales, Arnol García, Orietta Echávarri, Ronit Fischman, Marta Szmulewicz, Claudia Moya, Catalina Núñez, Alemka Tomicic
Format: Article
Language:English
Published: BMC 2020-03-01
Series:BMC Psychiatry
Subjects:
Suicide
Mood disorders
Artificial intelligence, Bayesian models
Online Access:http://link.springer.com/article/10.1186/s12888-020-02535-x

Internet

http://link.springer.com/article/10.1186/s12888-020-02535-x

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