Leveraging Electronic Dental Record Data to Classify Patients Based on Their Smoking Intensity.

Journal: Methods of information in medicine
Published Date: Mar 15, 2019

Abstract

BACKGROUND: Smoking is an established risk factor for oral diseases and, therefore, dental clinicians routinely assess and record their patients' detailed smoking status. Researchers have successfully extracted smoking history from electronic health records (EHRs) using text mining methods. However, they could not retrieve patients' smoking intensity due to its limited availability in the EHR. The presence of detailed smoking information in the electronic dental record (EDR) often under a separate section allows retrieving this information with less preprocessing.

Authors

  • J Patel
    Dental Informatics Core Division, Department of Cariology, Operative Dentistry, and Dental Public Health, Indiana University School of Dentistry, Indiana University - Purdue University Indianapolis, Indianapolis, Indiana, United States.
  • Z Siddiqui
    Dental Informatics Core Division, Department of Cariology, Operative Dentistry, and Dental Public Health, Indiana University School of Dentistry, Indiana University - Purdue University Indianapolis, Indianapolis, Indiana, United States.
  • A Krishnan
    Dental Informatics Core Division, Department of Cariology, Operative Dentistry, and Dental Public Health, Indiana University School of Dentistry, Indiana University - Purdue University Indianapolis, Indianapolis, Indiana, United States.
  • T P Thyvalikakath
    Dental Informatics Core Division, Department of Cariology, Operative Dentistry, and Dental Public Health, Indiana University School of Dentistry, Indiana University - Purdue University Indianapolis, Indianapolis, Indiana, United States.

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