Machine learning and big data in psychiatry: toward clinical applications

2019/04/01 by Robb B. Rutledge, Robb B Rutledge, Adam M. Chekroud +3 · 1 citation
Medicine · Neuroscience · Psychology · #Functional Brain Connectivity Studies #Mental Health Research Topics #Treatment of Major Depression

paper · doi:10.1016/j.conb.2019.02.006

crossref issued 2019/04/01 · crossref published 2019/04/01 · crossref published-print 2019/04/01 · openalex publication_date 2019/04/01 · crossref created 2019/04/15 · openalex created_date 2025/10/10 · crossref deposited 2025/10/17 · crossref indexed 2026/08/01 · openalex updated_date 2026/08/01

Citations

• Prediction models need appropriate internal, internal–external, and external validation
• Computational psychiatry as a bridge from neuroscience to clinical applications
• Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
• Comparative Efficacy and Acceptability of 21 Antidepressant Drugs for the Acute Treatment of Adults With Major Depressive Disorder: A Systematic Review and Network Meta-Analysis
• Semantics derived automatically from language corpora contain human-like biases

Cited by

• Artificial intelligence in healthcare [wikipedia]