Utilizing Dental Electronic Health Records Data to Predict Risk for Periodontal Disease

Thankam Paul Thyvalikakath, Rema Padman, Karnali Vyawahare, Pratiksha Darade, Rhucha Paranjape

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Periodontal disease is a major cause for tooth loss and adversely affects individuals' oral health and quality of life. Research shows its potential association with systemic diseases like diabetes and cardiovascular disease, and social habits such as smoking. This study explores mining potential risk factors from dental electronic health records to predict and display patients' contextualized risk for periodontal disease. We retrieved relevant risk factors from structured and unstructured data on 2,370 patients who underwent comprehensive oral examinations at the Indiana University School of Dentistry, Indianapolis, IN, USA. Predicting overall risk and displaying relationships between risk factors and their influence on the patient's oral and general health can be a powerful educational and disease management tool for patients and clinicians at the point of care.

Original languageEnglish (US)
Title of host publicationMEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics
PublisherIOS Press
Pages1081
Number of pages1
Volume216
ISBN (Electronic)9781614995630
DOIs
StatePublished - 2015
Event15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 - Sao Paulo, Brazil
Duration: Aug 19 2015Aug 23 2015

Publication series

NameStudies in Health Technology and Informatics
Volume216
ISSN (Print)09269630
ISSN (Electronic)18798365

Other

Other15th World Congress on Health and Biomedical Informatics, MEDINFO 2015
CountryBrazil
CitySao Paulo
Period8/19/158/23/15

Keywords

  • dental electronic health records
  • diabetes
  • Periodontal disease
  • risk factors
  • risk prediction
  • smoking

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management
  • Medicine(all)

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  • Cite this

    Thyvalikakath, T. P., Padman, R., Vyawahare, K., Darade, P., & Paranjape, R. (2015). Utilizing Dental Electronic Health Records Data to Predict Risk for Periodontal Disease. In MEDINFO 2015: eHealth-Enabled Health - Proceedings of the 15th World Congress on Health and Biomedical Informatics (Vol. 216, pp. 1081). (Studies in Health Technology and Informatics; Vol. 216). IOS Press. https://doi.org/10.3233/978-1-61499-564-7-1081