Work

Integration of Machine Learning and Pharmacogenomic Biomarkers for Predicting Response to Antidepressant Treatment: Can Computational Intelligence be used to Augment Clinical Assessments?

Year: 2019

Type: article

Abstract: machine learning tools are designed to serve as companions, allowing clinicians to focus on a smaller and more meaningful set of measures (among the hundreds of clinical and demographic factors and potentially millions of genomic variants) that are most prognostic of treatment outcomes in a given patient "

Source: Pharmacogenomics

DOI: 10.2217/pgs-2019-0119

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

Institutions: Mayo Clinic, University of Illinois Urbana-Champaign, Mayo Clinic in Florida

Language: English

Topic: Treatment of Major Depression

Subfield: Pharmacology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze