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Machine learning liver-injuring drug interactions with non-steroidal anti-inflammatory drugs (NSAIDs) from a retrospective electronic health record (EHR) cohort.
Datta, Arghya; Flynn, Noah R; Barnette, Dustyn A; Woeltje, Keith F; Miller, Grover P; Swamidass, S Joshua.
Affiliation
  • Datta A; Department of Computer Science and Engineering, Washington University in Saint Louis, Saint Louis, Missouri, United States of America.
  • Flynn NR; Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, Missouri, United States of America.
  • Barnette DA; Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
  • Woeltje KF; Department of Internal Medicine, Washington University School of Medicine, Saint Louis, Missouri, United States of America.
  • Miller GP; Center for Clinical Excellence at BJC HealthCare, Saint Louis, Missouri, United States of America.
  • Swamidass SJ; Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, United States of America.
PLoS Comput Biol ; 17(7): e1009053, 2021 07.
Article in En | MEDLINE | ID: mdl-34228716
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Anti-Inflammatory Agents, Non-Steroidal / Drug Interactions / Chemical and Drug Induced Liver Injury / Electronic Health Records / Machine Learning Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Anti-Inflammatory Agents, Non-Steroidal / Drug Interactions / Chemical and Drug Induced Liver Injury / Electronic Health Records / Machine Learning Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2021 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos