دورية أكاديمية
An Investigation of the Representation of Social Determinants of Health in the UMLS.
العنوان: | An Investigation of the Representation of Social Determinants of Health in the UMLS. |
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المؤلفون: | Rawat BPS; College of Information and Computer Science, University of Massachusetts-Amherst., Keating H; Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System.; Center of Biomedical and Health Research in Data Sciences, University of Massachusetts-Lowell., Goodwin R; Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System.; Center of Biomedical and Health Research in Data Sciences, University of Massachusetts-Lowell., Druhl E; Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System.; Center of Biomedical and Health Research in Data Sciences, University of Massachusetts-Lowell., Yu H; College of Information and Computer Science, University of Massachusetts-Amherst.; Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System.; Center of Biomedical and Health Research in Data Sciences, University of Massachusetts-Lowell. |
المصدر: | AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2023 Apr 29; Vol. 2022, pp. 912-921. Date of Electronic Publication: 2023 Apr 29 (Print Publication: 2022). |
نوع المنشور: | Journal Article; Research Support, N.I.H., Extramural |
اللغة: | English |
بيانات الدورية: | Publisher: American Medical Informatics Association Country of Publication: United States NLM ID: 101209213 Publication Model: eCollection Cited Medium: Internet ISSN: 1942-597X (Electronic) Linking ISSN: 15594076 NLM ISO Abbreviation: AMIA Annu Symp Proc Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: Bethesda, MD : American Medical Informatics Association, c2003- |
مواضيع طبية MeSH: | Unified Medical Language System* , Social Determinants of Health*, Humans ; Infant ; Algorithms ; Electronic Health Records |
مستخلص: | Social Determinants of Health (SDOH) are the conditions in which people are born, live, work, and age 1 . Unified Medical Language System (UMLS) incorporates SDOH concepts 2 ; but few have evaluated its coverage and quality. With 15,649 expert-annotated SDOH mentions from 3176 randomly selected electronic health record (EHR) notes, we found that 100% SDOH mentions can be mapped to at least one UMLS concept, indicating a good coverage of SDOH. However, we discovered a few challenges for the UMLS's representation of SDOH. Next, we developed a multi-step framework to identify SDOH concepts from UMLS, and a clinical BERT-based classification algorithm to assign each identified SDOH concept to one of the six general categories. Our multi-step framework extracted a total of 198, 677 SDOH concepts from the UMLS and the SDOH category classification system attained an accuracy of 91%. We also built EASE: an open-source tool to E xtr a ct S DOH from E HRs. (©2022 AMIA - All rights reserved.) |
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معلومات مُعتمدة: | R01 MH125027 United States MH NIMH NIH HHS |
تواريخ الأحداث: | Date Created: 20230502 Date Completed: 20230503 Latest Revision: 20230504 |
رمز التحديث: | 20230504 |
مُعرف محوري في PubMed: | PMC10148271 |
PMID: | 37128364 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1942-597X |
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