Applying machine learning on health record data from general practitioners to predict suicidality

Applying machine learning on health record data from general practitioners to predict suicidality

Background: Suicidal behaviour is difficult to detect in the general practice. Machine learning (ML) algorithms using routinely collected data might support General Practitioners (GPs) in the detection of suicidal behaviour. In this paper, we applied machine learning techniques to support GPs recogn...

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Bibliographic Details
Main Authors: Kasper van Mens, Elke Elzinga, Mark Nielen, Joran Lokkerbol, Rune Poortvliet, Gé Donker, Marianne Heins, Joke Korevaar, Michel Dückers, Claire Aussems, Marco Helbich, Bea Tiemens, Renske Gilissen, Aartjan Beekman, Derek de Beurs
Format: Article
Language:English
Published: Elsevier 2020-09-01
Series:Internet Interventions
Subjects:
Suicide
General practice
Electronic health records
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2214782920301032

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http://www.sciencedirect.com/science/article/pii/S2214782920301032

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