Predicting postpartum psychiatric admission using a machine learning approach

Kim S. Betts, Steve Kisely, Rosa Alati

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)
Original languageEnglish
Pages (from-to)35-40
Number of pages6
JournalJournal of Psychiatric Research
Volume130
DOIs
Publication statusPublished - Nov 2020
Externally publishedYes

ASJC Scopus Subject Areas

  • Psychiatry and Mental health
  • Biological Psychiatry

Fingerprint

Dive into the research topics of 'Predicting postpartum psychiatric admission using a machine learning approach'. Together they form a unique fingerprint.

Cite this