TY - JOUR
T1 - Identifying Opioid Use Disorder from Longitudinal Healthcare Data using a Multi-stream Transformer
AU - Fouladvand, Sajjad
AU - Talbert, Jeffery
AU - Dwoskin, Linda P.
AU - Bush, Heather
AU - Meadows, Amy Lynn
AU - Peterson, Lars E.
AU - Roggenkamp, Steve K.
AU - Kavuluru, Ramakanth
AU - Chen, Jin
N1 - Publisher Copyright:
©2021 AMIA - All rights reserved.
PY - 2021
Y1 - 2021
N2 - Opioid Use Disorder (OUD) is a public health crisis costing the US billions of dollars annually in healthcare, lost workplace productivity, and crime. Analyzing longitudinal healthcare data is critical in addressing many real-world problems in healthcare. Leveraging the real-world longitudinal healthcare data, we propose a novel multi-stream transformer model called MUPOD for OUD identification. MUPOD is designed to simultaneously analyze multiple types of healthcare data streams, such as medications and diagnoses, by attending to segments within and across these data streams. Our model tested on the data from 392,492 patients with long-term back pain problems showed significantly better performance than the traditional models and recently developed deep learning models.
AB - Opioid Use Disorder (OUD) is a public health crisis costing the US billions of dollars annually in healthcare, lost workplace productivity, and crime. Analyzing longitudinal healthcare data is critical in addressing many real-world problems in healthcare. Leveraging the real-world longitudinal healthcare data, we propose a novel multi-stream transformer model called MUPOD for OUD identification. MUPOD is designed to simultaneously analyze multiple types of healthcare data streams, such as medications and diagnoses, by attending to segments within and across these data streams. Our model tested on the data from 392,492 patients with long-term back pain problems showed significantly better performance than the traditional models and recently developed deep learning models.
UR - http://www.scopus.com/inward/record.url?scp=85126863695&partnerID=8YFLogxK
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M3 - Article
C2 - 35308960
AN - SCOPUS:85126863695
SN - 1559-4076
VL - 2021
SP - 476
EP - 485
JO - AMIA ... Annual Symposium proceedings. AMIA Symposium
JF - AMIA ... Annual Symposium proceedings. AMIA Symposium
ER -