Machine Learning for Suicide Research–Can It Improve Risk Factor Identification?-Reference-Cited by-同舟云学术

Machine Learning for Suicide Research–Can It Improve Risk Factor Identification?

Published:2020-01-01 Issue:1 Volume:77 Page:13
ISSN:2168-622X
Container-title:JAMA Psychiatry
language:en
Short-container-title:JAMA Psychiatry

Author:

Fazel Seena¹,O’Reilly Lauren²

Affiliation:

1. Department of Psychiatry, University of Oxford, Oxford, Oxfordshire, England

2. Indiana University, Bloomington

Publisher

American Medical Association (AMA)

Subject

Psychiatry and Mental health

Link

https://jamanetwork.com/journals/jamapsychiatry/articlepdf/2753011/jamapsychiatry_fazel_2019_ed_190027.pdf

Reference11 articles.

1. Prediction of sex-specific suicide risk using machine learning and single-payer health care registry data from Denmark [published online October 23, 2019].;Gradus;JAMA Psychiatry

2. Suicide and suicidal behaviour.;Turecki;Lancet,2016

3. Association of an early intervention service for psychosis with suicide rate among patients with first-episode schizophrenia-spectrum disorders.;Chan;JAMA Psychiatry,2018

4. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.;Christodoulou;J Clin Epidemiol,2019

5. How accurate are suicide risk prediction models? asking the right questions for clinical practice.;Whiting;Evid Based Ment Health,2019

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