Machine Learning: An Approach in Identifying Risk Factors for Coercion Compared to Binary Logistic Regression

Introduction: Although knowledge about negative effects of coercive measures in psychiatry exists, its prevalence is still high in clinical routine. This study aimed at define risk factors and test machine learning algorithms for their accuracy in the prediction of the risk to being subjected to coe...

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Detalles Bibliográficos
Publicado en:Front Psychiatry
Main Authors: Hotzy, Florian, Theodoridou, Anastasia, Hoff, Paul, Schneeberger, Andres R., Seifritz, Erich, Olbrich, Sebastian, Jäger, Matthias
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2018
Assuntos:
Psychiatry
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6005877/
https://ncbi.nlm.nih.gov/pubmed/29946273
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyt.2018.00258
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