{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T17:48:14Z","timestamp":1747331294292},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684567","type":"print"},{"value":"9781643684574","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T00:00:00Z","timestamp":1706140800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,1,25]]},"abstract":"<jats:p>Post-acute sequelae of SARS CoV-2 (PASC) are a group of conditions in which patients previously infected with COVID-19 experience symptoms weeks\/months post-infection. PASC has substantial societal burden, including increased healthcare costs and disabilities. This study presents a natural language processing (NLP) based pipeline for identification of PASC symptoms and demonstrates its ability to estimate the proportion of suspected PASC cases. A manual case review to obtain this estimate indicated our sample incidence of PASC (13%) was representative of the estimated population proportion (95% CI: 19\u00b16.22%). However, the high number of cases classified as indeterminate demonstrates the challenges in classifying PASC even among experienced clinicians. Lastly, this study developed a dashboard to display views of aggregated PASC symptoms and measured its utility using the System Usability Scale. Overall comments related to the dashboard\u2019s potential were positive. This pipeline is crucial for monitoring post-COVID-19 patients with potential for use in clinical settings.<\/jats:p>","DOI":"10.3233\/shti231087","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:25:28Z","timestamp":1706178328000},"source":"Crossref","is-referenced-by-count":1,"title":["A Symptom-Based Natural Language Processing Surveillance Pipeline for Post-COVID-19 Patients"],"prefix":"10.3233","author":[{"given":"Greg M.","family":"Silverman","sequence":"first","affiliation":[{"name":"Department of Surgery, University of Minnesota, Minneapolis, MN, USA"}]},{"given":"Geetanjali","family":"Rajamani","sequence":"additional","affiliation":[{"name":"Medical School, University of Minnesota, Minneapolis, MN, USA"}]},{"given":"Nicholas E.","family":"Ingraham","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Minnesota, Minneapolis, MN, USA"}]},{"given":"James K.","family":"Glover","sequence":"additional","affiliation":[{"name":"Department of Surgery, University of Minnesota, Minneapolis, MN, USA"}]},{"given":"Himanshu S.","family":"Sahoo","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"}]},{"given":"Michael","family":"Usher","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Minnesota, Minneapolis, MN, USA"}]},{"given":"Rui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Surgery, University of Minnesota, Minneapolis, MN, USA"}]},{"given":"Farha","family":"Ikramuddin","sequence":"additional","affiliation":[{"name":"Department of Rehabilitation Medicine, University of Minnesota, Minneapolis, MN, USA"}]},{"given":"Tanya E.","family":"Melnik","sequence":"additional","affiliation":[{"name":"Department of Medicine, University of Minnesota, Minneapolis, MN, USA"}]},{"given":"Genevieve B.","family":"Melton","sequence":"additional","affiliation":[{"name":"Department of Surgery, University of Minnesota, Minneapolis, MN, USA"}]},{"given":"Christopher J.","family":"Tignanelli","sequence":"additional","affiliation":[{"name":"Department of Surgery, University of Minnesota, Minneapolis, MN, USA"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2023 \u2014 The Future Is Accessible"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI231087","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:25:30Z","timestamp":1706178330000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI231087"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti231087","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,1,25]]}}}