| Literature DB >> 34174396 |
Ruth M Reeves1, Lee Christensen2, Jeremiah R Brown3, Michael Conway2, Maxwell Levis3, Glenn T Gobbel4, Rashmee U Shah5, Christine Goodrich3, Iben Ricket3, Freneka Minter6, Andrew Bohm3, Bruce E Bray7, Michael E Matheny8, Wendy Chapman9.
Abstract
Social determinants of health (SDoH) are increasingly important factors for population health, healthcare outcomes, and care delivery. However, many of these factors are not reliably captured within structured electronic health record (EHR) data. In this work, we evaluated and adapted a previously published NLP tool to include additional social risk factors for deployment at Vanderbilt University Medical Center in an Acute Myocardial Infarction cohort. We developed a transformation of the SDoH outputs of the tool into the OMOP common data model (CDM) for re-use across many potential use cases, yielding performance measures across 8 SDoH classes of precision 0.83 recall 0.74 and F-measure of 0.78. Published by Elsevier Inc.Entities:
Mesh：
Year: 2021 PMID： 34174396 PMCID： PMC8386129 DOI： 10.1016/j.jbi.2021.103851
Source DB: PubMed Journal: J Biomed Inform ISSN： 1532-0464 Impact factor: 8.000