Clinical Significance of Marital Status and Changes in Status Extracted from Unstructured Clinical Notes

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Abstract Marital status and its dynamics significantly influence health outcomes. This study aims to demonstrate clinical utility of marital status and improve its extraction from electronic health records (EHR) by developing ensembles capable of using structured and unstructured EHR data. Four ensembles based on different voting rules (unanimous vote, majority vote, precision-based vote, and vote based on random forest) were assembled using structured marital status data, off-the-shelf CNN, and hybrid models, capable of detecting marital status from clinical notes, followed by BERT-based fine-tuning to increase recall. Associations of marital status and its changes with depression, substance abuse, and other health outcomes derived from MIMIC-III were reported using frequency statistics. Patients experiencing any marital status change (n=139, including getting married n=40), compared to patients with no change in status (n=2500) of similar age (M=57 years), had higher incidences of depression, but also higher recovery rates, suggesting dual health impacts of marital dynamics.
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Clinical Significance of Marital Status and Changes in Status Extracted from Unstructured Clinical Notes | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Clinical Significance of Marital Status and Changes in Status Extracted from Unstructured Clinical Notes Dmitry Scherbakov, Paul M. Heider, Jihad S. Obeid, Alexander V. Alekseyenko, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6578415/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Marital status and its dynamics significantly influence health outcomes. This study aims to demonstrate clinical utility of marital status and improve its extraction from electronic health records (EHR) by developing ensembles capable of using structured and unstructured EHR data. Four ensembles based on different voting rules (unanimous vote, majority vote, precision-based vote, and vote based on random forest) were assembled using structured marital status data, off-the-shelf CNN, and hybrid models, capable of detecting marital status from clinical notes, followed by BERT-based fine-tuning to increase recall. Associations of marital status and its changes with depression, substance abuse, and other health outcomes derived from MIMIC-III were reported using frequency statistics. Patients experiencing any marital status change (n=139, including getting married n=40), compared to patients with no change in status (n=2500) of similar age (M=57 years), had higher incidences of depression, but also higher recovery rates, suggesting dual health impacts of marital dynamics. Medical Informatics Health Economics & Outcomes Research Social determinants of health marital status depression substance abuse electronic health records natural language processing Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6578415","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":451098449,"identity":"17a6258f-1310-42f8-ba91-1a4267c75eeb","order_by":0,"name":"Dmitry Scherbakov","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAxUlEQVRIiWNgGAWjYFACHgYGxgYGA34oF8gmVotkA8laDA4Qq0W+/ezBx5U77IyNr50x/vCDwUZ2wwECWgzO5CUbnj2TbGZ2O8dMsochzZiwFgkeM8nGNmYbkBZmBobDiQS1yM/gMf/Z2FZvYzw7x/gzA8N/wloYbvCYMTa2HTYzkM4xkGZgOEBYi8GZHGPJxjPHjSVup5VJ9hgkG88k6LD2M4YfG3dUG/bPTt784UeFnWwfQYehWUqa8lEwCkbBKBgFOAAA6ONBnBwhq1oAAAAASUVORK5CYII=","orcid":"https://orcid.org/0009-0005-7274-0934","institution":"Medical University of South Carolina","correspondingAuthor":true,"prefix":"","firstName":"Dmitry","middleName":"","lastName":"Scherbakov","suffix":""},{"id":451098450,"identity":"c542f6c7-6d1a-44a5-8b42-a417745b9da7","order_by":1,"name":"Paul M. 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