{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,22]],"date-time":"2025-03-22T12:25:14Z","timestamp":1742646314276},"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>Periodontitis is an irreversible disease leading to tooth loss, and 42% U.S. population suffers from periodontitis. Hence, diagnosing, monitoring, and determining its prevalence is critical to develop preventive strategies. However, a nationwide epidemiological study estimating the prevalence reported a concern about the discontinuation of such studies due to cost and ethical reasons. Therefore, this study determined the feasibility of utilizing electronic dental record (EDR) data and periodontitis case definition to automate periodontitis diagnosis. We utilized EDR data from the Indiana University School of Dentistry of 28,908 unique patients. We developed and tested a computer algorithm to diagnose periodontitis using the case definition. We found 44%, 22%, and 1% of patients with moderate, severe, and mild periodontitis, respectively. The algorithm worked with 100% sensitivity, specificity, and accuracy because of the excellent quality of the EDR data. We concluded the feasibility of providing automated periodontitis diagnosis from EDR data to conduct epidemiological studies across the US.<\/jats:p>","DOI":"10.3233\/shti230958","type":"book-chapter","created":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:18:31Z","timestamp":1706177911000},"source":"Crossref","is-referenced-by-count":1,"title":["Feasibility of Utilizing Electronic Dental Record Data and Periodontitis Case Definition to Automate Diagnosis"],"prefix":"10.3233","author":[{"given":"Jay","family":"Patel","sequence":"first","affiliation":[{"name":"Dental Informatics Division; Department of Cariology, Operative Dentistry, and Dental Public Health; Indiana University School of Dentistry; Indiana University Purdue University Indianapolis, Indianapolis, IN, USA"},{"name":"Department of Health Services Administration and Policy, College of Public Health Temple University, Philadelphia, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Shin","sequence":"additional","affiliation":[{"name":"Department of Periodontology, Indiana University School of Dentistry; Indiana University Purdue University Indianapolis, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lisa","family":"Willis","sequence":"additional","affiliation":[{"name":"Dental Informatics Division; Department of Cariology, Operative Dentistry, and Dental Public Health; Indiana University School of Dentistry; Indiana University Purdue University Indianapolis, Indianapolis, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahad","family":"Zai","sequence":"additional","affiliation":[{"name":"Dental Informatics Division; Department of Cariology, Operative Dentistry, and Dental Public Health; Indiana University School of Dentistry; Indiana University Purdue University Indianapolis, Indianapolis, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thankam","family":"Thyvalikakath","sequence":"additional","affiliation":[{"name":"Dental Informatics Division; Department of Cariology, Operative Dentistry, and Dental Public Health; Indiana University School of Dentistry; Indiana University Purdue University Indianapolis, Indianapolis, IN, USA"},{"name":"Center for Biomedical Informatics, Regenstrief Institute, Inc., Indianapolis, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"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\/SHTI230958","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,25]],"date-time":"2024-01-25T10:18:33Z","timestamp":1706177913000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI230958"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,1,25]]},"ISBN":["9781643684567","9781643684574"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti230958","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]]}}}