Development of artificial neural network model for prediction of post-streptococcus mutans in dental caries.

Journal: Computer methods and programs in biomedicine
PMID: 31760304

Abstract

BACKGROUND AND OBJECTIVE: Streptococcus mutans is the primary initiator and most common organism associated with dental caries. Prediction of post-Streptococcus mutans favours in the selection of appropriate caries excavation method which eventually results in meliorate caries-free cavity preparation for restoration. The objective of this study is to predict the post-Streptococcus mutans prior to dental caries excavation based on pre- Streptococcus mutans using iOS App developed on Artificial Neural Network (ANN) model.

Authors

  • Syed Javed
    Mechancial Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia. Electronic address: syedjavedme@gmail.com.
  • M Zakirulla
    Department of Pediatric Dentistry and Orthodontic Sciences, College of Dentistry, King Khalid University, Abha, Saudi Arabia.
  • Rahmath Ulla Baig
    Industrial Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia.
  • S M Asif
    Department of Diagnostic Science & Oral Biology, College of Dentistry, King Khalid University, Abha, Saudi Arabia.
  • Allah Baksh Meer
    Department of Public Health, College of Health Sciences, Saudi Electronic University, Jeddah, Saudi Arabia.

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