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 journal › Review 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 journal › Review article

Athreya, AP, Iyer, R, Wang, L, Weinshilboum, RM & Bobo, WV 2019, 'Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment: Can computational intelligence be used to augment clinical assessments?', Pharmacogenomics, vol. 20, no. 14, pp. 983-988. https://doi.org/10.2217/pgs-2019-0119
Athreya AP, Iyer R, Wang L, Weinshilboum RM, Bobo WV. Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment: Can computational intelligence be used to augment clinical assessments? Pharmacogenomics. 2019 Jan 1;20(14):983-988. https://doi.org/10.2217/pgs-2019-0119
Athreya, Arjun P. ; Iyer, Ravishankar ; Wang, Liewei ; Weinshilboum, Richard M. ; Bobo, William V. / Integration of machine learning and pharmacogenomic biomarkers for predicting response to antidepressant treatment : Can computational intelligence be used to augment clinical assessments?. In: Pharmacogenomics. 2019 ; Vol. 20, No. 14. pp. 983-988.
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