Ten Simple Rules for Using Machine Learning in Mental Health Research-Reference-Cited by-同舟云学术

Ten Simple Rules for Using Machine Learning in Mental Health Research

Published:2023-11 Issue: Volume: Page:
ISSN:0006-3223
Container-title:Biological Psychiatry
language:en
Short-container-title:Biological Psychiatry

Author:

Radua Joaquim^ORCID,Koutsouleris Nikolaos

Publisher

Elsevier BV

Subject

Biological Psychiatry

Reference10 articles.

1. Machine learning approaches for clinical psychology and psychiatry;Dwyer;Ann Rev Clin Psychol,2018

2. Combining MRI and clinical data to detect high relapse risk after the first episode of psychosis;Solanes;Schizophrenia (Heidelb),2022

3. Multimodal machine learning workflows for prediction of psychosis in patients with clinical high-risk syndromes and recent-onset depression;Koutsouleris;JAMA Psychiatry,2021

4. Improved estimation of the risk of manic relapse by combining clinical and brain scan data [published online Jan 10];Palau;Rev Psiquiatr Salud Ment,2023

5. Removing the effects of the site in brain imaging machine-learning - Measurement and extendable benchmark;Solanes;Neuroimage,2023

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