DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions | Zendy

Patrick Wu | Zendy; Scott D. Nelson | Zendy; Juan Zhao | Zendy; Cosby A. Stone | Zendy; QiPing Feng | Zendy; Qingxia Chen | Zendy; Eric Larson | Zendy; Bingshan Li | Zendy; Nancy J. Cox | Zendy; C. Stein | Zendy; Elizabeth J. Phillips | Zendy; Dan M. Roden | Zendy; Joshua C. Denny | Zendy; WeiQi Wei | Zendy

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DDIWAS: High-throughput electronic health record-based screening of drug-drug interactions

Author(s) -

Patrick Wu,

Scott D. Nelson,

Juan Zhao,

Cosby A. Stone,

QiPing Feng,

Qingxia Chen,

Eric Larson,

Bingshan Li,

Nancy J. Cox,

C. Stein,

Elizabeth J. Phillips,

Dan M. Roden,

Joshua C. Denny,

WeiQi Wei

Publication year - 2021

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocab019

Subject(s) - amlodipine , drug , medicine , drug allergy , simvastatin , hydrochlorothiazide , computer science , data mining , pharmacology , blood pressure

We developed and evaluated Drug-Drug Interaction Wide Association Study (DDIWAS). This novel method detects potential drug-drug interactions (DDIs) by leveraging data from the electronic health record (EHR) allergy list.

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