Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment: Can computational intelligence be used to augment clinical assessments?

Arjun P. Athreya, Ravishankar Iyer, Liewei Wang, Richard M. Weinshilboum, William V. Bobo

Research output: Contribution to journalReview article

Original languageEnglish (US)
Pages (from-to)983-988
Number of pages6
JournalPharmacogenomics
Volume20
Issue number14
DOIs
StatePublished - Jan 1 2019

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Artificial Intelligence
Pharmacogenetics
Antidepressive Agents
Biomarkers
Machine Learning

Keywords

  • antidepressants
  • artificial intelligence
  • clinical response
  • depression
  • major depression

ASJC Scopus subject areas

  • Molecular Medicine
  • Genetics
  • Pharmacology

Cite this

Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment : Can computational intelligence be used to augment clinical assessments? / Athreya, Arjun P.; Iyer, Ravishankar; Wang, Liewei; Weinshilboum, Richard M.; Bobo, William V.

In: Pharmacogenomics, Vol. 20, No. 14, 01.01.2019, p. 983-988.

Research output: Contribution to journalReview article

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