Predicting second-generation antidepressant effectiveness in treating sadness using demographic and clinical information: A machine learning approach

Amanda Lin, Adrienne Stolfi, Tracy Eicher, Sabrina Neeley

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)295-304
Number of pages10
JournalJournal of Affective Disorders
Volume272
DOIs
StatePublished - Jul 1 2020

ASJC Scopus Subject Areas

  • Clinical Psychology
  • Psychiatry and Mental health

Keywords

  • Antidepressive agents
  • Machine learning
  • Mental health
  • Sadness

Disciplines

  • Genetic Phenomena
  • Medical Education
  • Medical Pharmacology
  • Medicine and Health Sciences

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