Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study

The proposed ensemble model demonstrated a high performance in pharmacogenetic testing uptake prediction among patients using opioids for pain. This model can be used as a decision support tool, assisting clinicians in identifying patients' likelihood of pharmacogenetic testing uptake and guiding appropriate decision-making.

Authors

Institutions

Publication Details

Journal
JMIR Medical Informatics
Published
2026-01-21
DOI
https://doi.org/10.2196/81048
Primary Topic
Pain Management and Opioid Use
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study

Nelson Dr, Larisa H. Cavallari, Mohammad Yaseliani, M Y Hasan et al.
JMIR Medical Informatics
Pain Management and Opioid Use
article

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study

Nelson Dr, Larisa H. Cavallari, Mohammad Yaseliani, M Y Hasan, Je-Won Hong, Julio D Duarte, Jiang Bian, Khoa Anh Nguyen, Wei-Hsuan Lo-Ciganic
article en

Abstract

The proposed ensemble model demonstrated a high performance in pharmacogenetic testing uptake prediction among patients using opioids for pain. This model can be used as a decision support tool, assisting clinicians in identifying patients' likelihood of pharmacogenetic testing uptake and guiding appropriate decision-making.

JMIR Medical InformaticsVol. 14
Florida Museum of Natural History (US), Regenstrief Institute (US), University of Pittsburgh (US), University of Florida (US), North Florida/South Georgia Veterans Health System (US), Indiana University Indianapolis (US), Indiana University – Purdue University Indianapolis (US), Florida College (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 79%
Pain Management and Opioid Use
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Machine Learning Prediction of Pharmacogenetic Testing Uptake Among Opioid-Prescribed Patients Using Electronic Health Records: Retrospective Cohort Study — Nelson Dr, Larisa H. Cavallari, et al. · JMIR Medical Informatics (2026) | TGRS Research Map | TGRS