Prospective prediction of suicide attempts in community adolescents and young adults, using regression methods and machine learning.

Background: The use of machine learning (ML) algorithms to study suicidality has recently been recommended. Our aim was to explore whether ML approaches have the potential to improve the prediction of suicide attempt (SA) risk. Using the epidemiological multiwave prospective-longitudinal Early Devel...

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Bibliographic Details

Published in:	Journal of Affective Disorders Vol. 265; pp. 570 - 579
Main Authors:	Miché, Marcel, Studerus, Erich, Meyer, Andrea Hans, Gloster, Andrew Thomas, Beesdo-Baum, Katja, Wittchen, Hans-Ulrich, Lieb, Roselind
Format:	research tables/charts Journal Article
Published:	Elsevier B.V. Mar2020
Online Access:	View this record in EBSCOhost