{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T02:25:30Z","timestamp":1772504730963,"version":"3.50.1"},"reference-count":39,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T00:00:00Z","timestamp":1681171200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/100000092","name":"National Library of Medicine","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000092","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["4R00LM013001"],"award-info":[{"award-number":["4R00LM013001"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000049","name":"National Institute on Aging","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000049","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["RF1AG072799"],"award-info":[{"award-number":["RF1AG072799"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000060","name":"National Institute of Allergy and Infectious Diseases","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000060","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"NIH","doi-asserted-by":"publisher","award":["1R01AI130460"],"award-info":[{"award-number":["1R01AI130460"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["2145640"],"award-info":[{"award-number":["2145640"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Center for Health Economics of Treatment Interventions for Substance Use Disorder"},{"DOI":"10.13039\/100000026","name":"NIDA","doi-asserted-by":"publisher","award":["P30DA040500"],"award-info":[{"award-number":["P30DA040500"]}],"id":[{"id":"10.13039\/100000026","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Institute for Health Care Management Research and Educational Foundation"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>Suicide presents a major public health challenge worldwide, affecting people across the lifespan. While previous studies revealed strong associations between Social Determinants of Health (SDoH) and suicide deaths, existing evidence is limited by the reliance on structured data. To resolve this, we aim to adapt a suicide-specific SDoH ontology (Suicide-SDoHO) and use natural language processing (NLP) to effectively identify individual-level SDoH-related social risks from death investigation narratives.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Materials and Methods<\/jats:title>\n                  <jats:p>We used the latest National Violent Death Report System (NVDRS), which contains 267\u200a804 victim suicide data from 2003 to 2019. After adapting the Suicide-SDoHO, we developed a transformer-based model to identify SDoH-related circumstances and crises in death investigation narratives. We applied our model retrospectively to annotate narratives whose crisis variables were not coded in NVDRS. The crisis rates were calculated as the percentage of the group\u2019s total suicide population with the crisis present.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The Suicide-SDoHO contains 57 fine-grained circumstances in a hierarchical structure. Our classifier achieves AUCs of 0.966 and 0.942 for classifying circumstances and crises, respectively. Through the crisis trend analysis, we observed that not everyone is equally affected by SDoH-related social risks. For the economic stability crisis, our result showed a significant increase in crisis rate in 2007\u20132009, parallel with the Great Recession.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>This is the first study curating a Suicide-SDoHO using death investigation narratives. We showcased that our model can effectively classify SDoH-related social risks through NLP approaches. We hope our study will facilitate the understanding of suicide crises and inform effective prevention strategies.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jamia\/ocad068","type":"journal-article","created":{"date-parts":[[2023,4,11]],"date-time":"2023-04-11T20:24:33Z","timestamp":1681244673000},"page":"1408-1417","source":"Crossref","is-referenced-by-count":23,"title":["An NLP approach to identify SDoH-related circumstance and suicide crisis from death investigation narratives"],"prefix":"10.1093","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8224-0424","authenticated-orcid":false,"given":"Song","family":"Wang","sequence":"first","affiliation":[{"name":"Cockrell School of Engineering, The University of Texas at Austin , Austin, Texas, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4014-2957","authenticated-orcid":false,"given":"Yifang","family":"Dang","sequence":"additional","affiliation":[{"name":"School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston, Texas, USA"}]},{"given":"Zhaoyi","family":"Sun","sequence":"additional","affiliation":[{"name":"Population Health Sciences, Weill Cornell Medicine , New York, New York, USA"}]},{"given":"Ying","family":"Ding","sequence":"additional","affiliation":[{"name":"School of Information, The University of Texas at Austin , Austin, Texas, USA"}]},{"given":"Jyotishman","family":"Pathak","sequence":"additional","affiliation":[{"name":"Population Health Sciences, Weill Cornell Medicine , New York, New York, USA"}]},{"given":"Cui","family":"Tao","sequence":"additional","affiliation":[{"name":"School of Biomedical Informatics, The University of Texas Health Science Center at Houston , Houston, Texas, USA"}]},{"given":"Yunyu","family":"Xiao","sequence":"additional","affiliation":[{"name":"Population Health Sciences, Weill Cornell Medicine , New York, New York, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9309-8331","authenticated-orcid":false,"given":"Yifan","family":"Peng","sequence":"additional","affiliation":[{"name":"Population Health Sciences, Weill Cornell Medicine , New York, New York, USA"}]}],"member":"286","published-online":{"date-parts":[[2023,4,11]]},"reference":[{"issue":"6","key":"2024041100100453800_ocad068-B1","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1177\/1559827614551130","article-title":"Suicide prevention","volume":"8","author":"Stone","year":"2014","journal-title":"Am J Lifestyle Med"},{"issue":"6","key":"2024041100100453800_ocad068-B2","doi-asserted-by":"crossref","first-page":"e2113513","DOI":"10.1001\/jamanetworkopen.2021.13513","article-title":"Temporal trends in suicidal ideation and attempts among us adolescents by sex and race\/ethnicity, 1991-2019","volume":"4","author":"Xiao","year":"2021","journal-title":"JAMA Netw 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