Identifying patients' smoking status from electronic dental records data

Jay Patel, Zasim Siddiqui, Anand Krishnan, Thankam Paul Thyvalikakath

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

Abstract

Smoking is a significant risk factor for initiation and progression of oral diseases. A patient's current smoking status and tobacco dependency can aid clinical decision making and treatment planning. The free-text nature of this data limits accessibility causing obstacles during the time of care and research utility. No studies exist on extracting patient's smoking status automatically from the Electronic Dental Record. This study reports the development and evaluation of an NLP system for this purpose.

Original languageEnglish (US)
Title of host publicationMEDINFO 2017
Subtitle of host publicationPrecision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics
PublisherIOS Press
Number of pages1
ISBN (Electronic)9781614998297
DOIs
StatePublished - Jan 1 2017
Event16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017 - Hangzhou, China
Duration: Aug 21 2017Aug 25 2017

Publication series

NameStudies in Health Technology and Informatics
Volume245
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017
CountryChina
CityHangzhou
Period8/21/178/25/17

Fingerprint

Dental Records
Tobacco
Decision making
Smoking
Planning
Mouth Diseases
Research
Therapeutics

Keywords

  • Clinical decision-making
  • Dental records
  • Smoking

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Patel, J., Siddiqui, Z., Krishnan, A., & Thyvalikakath, T. P. (2017). Identifying patients' smoking status from electronic dental records data. In MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics (Studies in Health Technology and Informatics; Vol. 245). IOS Press. https://doi.org/10.3233/978-1-61499-830-3-1281

Identifying patients' smoking status from electronic dental records data. / Patel, Jay; Siddiqui, Zasim; Krishnan, Anand; Thyvalikakath, Thankam Paul.

MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press, 2017. (Studies in Health Technology and Informatics; Vol. 245).

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

Patel, J, Siddiqui, Z, Krishnan, A & Thyvalikakath, TP 2017, Identifying patients' smoking status from electronic dental records data. in MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 245, IOS Press, 16th World Congress of Medical and Health Informatics: Precision Healthcare through Informatics, MedInfo 2017, Hangzhou, China, 8/21/17. https://doi.org/10.3233/978-1-61499-830-3-1281
Patel J, Siddiqui Z, Krishnan A, Thyvalikakath TP. Identifying patients' smoking status from electronic dental records data. In MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press. 2017. (Studies in Health Technology and Informatics). https://doi.org/10.3233/978-1-61499-830-3-1281
Patel, Jay ; Siddiqui, Zasim ; Krishnan, Anand ; Thyvalikakath, Thankam Paul. / Identifying patients' smoking status from electronic dental records data. MEDINFO 2017: Precision Healthcare through Informatics - Proceedings of the 16th World Congress on Medical and Health Informatics. IOS Press, 2017. (Studies in Health Technology and Informatics).
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