Periodontitis Prediction Model Using Linked Electronic Health and Dental Records.

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Bibliographic Details
Title: Periodontitis Prediction Model Using Linked Electronic Health and Dental Records.
Authors: Patel JS; Center for Artificial Intelligence, Informatics, and Data Science, Department of Oral Health Sciences, Temple University Kornberg School of Dentistry, Philadelphia, PA, USA., Tellez M; Center for Artificial Intelligence, Informatics, and Data Science, Department of Oral Health Sciences, Temple University Kornberg School of Dentistry, Philadelphia, PA, USA., Katiyar R; Center for Artificial Intelligence, Informatics, and Data Science, Department of Oral Health Sciences, Temple University Kornberg School of Dentistry, Philadelphia, PA, USA., Al-Hebshi NN; Center for Artificial Intelligence, Informatics, and Data Science, Department of Oral Health Sciences, Temple University Kornberg School of Dentistry, Philadelphia, PA, USA., Santana R; Department of Periodontology, Temple University Kornberg School of Dentistry, Philadelphia, PA, USA., Yucel RM; Department of Epidemiology & Biostatistics, Temple University Barnett College of Public Health, Philadelphia, PA, USA., Ismail A; Center for Artificial Intelligence, Informatics, and Data Science, Department of Oral Health Sciences, Temple University Kornberg School of Dentistry, Philadelphia, PA, USA.
Source: JDR clinical and translational research [JDR Clin Trans Res] 2026 Feb 11, pp. 23800844251408849. Date of Electronic Publication: 2026 Feb 11.
Publication Type: Journal Article
Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 101684997 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2380-0852 (Electronic) Linking ISSN: 23800844 NLM ISO Abbreviation: JDR Clin Trans Res Subsets: MEDLINE
Database: MEDLINE Ultimate
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