The promise of machine learning in predicting treatment outcomes in psychiatry-Reference-Cited by-同舟云学术

The promise of machine learning in predicting treatment outcomes in psychiatry

Published:2021-05-18 Issue:2 Volume:20 Page:154-170
ISSN:1723-8617
Container-title:World Psychiatry
language:en
Short-container-title:World Psychiatry

Author:

Chekroud Adam M.¹²,Bondar Julia²,Delgadillo Jaime³,Doherty Gavin⁴,Wasil Akash⁵,Fokkema Marjolein⁶,Cohen Zachary⁷,Belgrave Danielle⁸,DeRubeis Robert⁵,Iniesta Raquel⁹,Dwyer Dominic¹⁰,Choi Karmel¹¹¹²

Affiliation:

1. Department of Psychiatry, Yale School of Medicine New Haven CT USA

2. Spring Health New York City NY USA

3. Clinical Psychology Unit, Department of Psychology University of Sheffield Sheffield UK

4. School of Computer Science and Statistics Trinity College Dublin Dublin Ireland

5. Department of Psychology University of Pennsylvania Philadelphia PA USA

6. Department of Methods and Statistics, Institute of Psychology Leiden University Leiden The Netherlands

7. Department of Psychiatry and Biobehavioral Sciences University of California Los Angeles Los Angeles CA USA

8. Microsoft Research Cambridge UK

9. Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neurosciences King's College London London UK

10. Department of Psychiatry and Psychotherapy, Section for Neurodiagnostic Applications Ludwig‐Maximilian University Munich Germany

11. Harvard T.H. Chan School of Public Health Boston MA USA

12. Department of Psychiatry, Massachusetts General Hospital Harvard Medical School Boston MA USA

Publisher

Wiley

Subject

Psychiatry and Mental health,Phychiatric Mental Health

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/wps.20882

Reference217 articles.

1. Acute and Longer-Term Outcomes in Depressed Outpatients Requiring One or Several Treatment Steps: A STAR*D Report

2. The Elements of Statistical Learning

3. Bigger data, harder questions – opportunities throughout mental health care;Chekroud AM;JAMA Psychiatry,2017

4. Machine learning, statistical learning and the future of biological research in psychiatry

5. Statistical Modeling: The Two Cultures (with comments and a rejoinder by the author)

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