Artificial neural network and convolutional neural network for prediction of dental caries

Dental caries has high prevalence among kids and adults thus it has become one of the global health concerns. The current modern dentistry focused on the preventives measures to reduce the number of dental caries cases. The employment of machine learning coupled with UV spectroscopy plays a crucial...

Full description

Bibliographic Details
Published in:Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
Main Author: Basri K.N.; Yazid F.; Mohd Zain M.N.; Md Yusof Z.; Abdul Rani R.; Zoolfakar A.S.
Format: Article
Language:English
Published: Elsevier B.V. 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185721653&doi=10.1016%2fj.saa.2024.124063&partnerID=40&md5=eeb3077848397b02d3bf28efb5d54b4b
id 2-s2.0-85185721653
spelling 2-s2.0-85185721653
Basri K.N.; Yazid F.; Mohd Zain M.N.; Md Yusof Z.; Abdul Rani R.; Zoolfakar A.S.
Artificial neural network and convolutional neural network for prediction of dental caries
2024
Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
312

10.1016/j.saa.2024.124063
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185721653&doi=10.1016%2fj.saa.2024.124063&partnerID=40&md5=eeb3077848397b02d3bf28efb5d54b4b
Dental caries has high prevalence among kids and adults thus it has become one of the global health concerns. The current modern dentistry focused on the preventives measures to reduce the number of dental caries cases. The employment of machine learning coupled with UV spectroscopy plays a crucial role to detect the early stage of caries. Artificial neural network with hyperparameter tuning was employed to train spectral data for the classification based on the International Caries Detection and Assesment System (ICDAS). Spectra preprocessing namely mean center (MC), autoscale (AS) and Savitzky Golay smoothing (SG) were applied on the data for spectra correction. The best performance of ANN model obtained has accuracy of 0.85 with precision of 1.00. Convolutional neural network (CNN) combined with Savitzky Golay smoothing performed on the spectral data has accuracy, precision, sensitivity and specificity for validation data of 1.00 respectively. The result obtained shows that the application of ANN and CNN capable to produce robust model to be used as an early screening of dental caries. © 2024 Elsevier B.V.
Elsevier B.V.
13861425
English
Article

author Basri K.N.; Yazid F.; Mohd Zain M.N.; Md Yusof Z.; Abdul Rani R.; Zoolfakar A.S.
spellingShingle Basri K.N.; Yazid F.; Mohd Zain M.N.; Md Yusof Z.; Abdul Rani R.; Zoolfakar A.S.
Artificial neural network and convolutional neural network for prediction of dental caries
author_facet Basri K.N.; Yazid F.; Mohd Zain M.N.; Md Yusof Z.; Abdul Rani R.; Zoolfakar A.S.
author_sort Basri K.N.; Yazid F.; Mohd Zain M.N.; Md Yusof Z.; Abdul Rani R.; Zoolfakar A.S.
title Artificial neural network and convolutional neural network for prediction of dental caries
title_short Artificial neural network and convolutional neural network for prediction of dental caries
title_full Artificial neural network and convolutional neural network for prediction of dental caries
title_fullStr Artificial neural network and convolutional neural network for prediction of dental caries
title_full_unstemmed Artificial neural network and convolutional neural network for prediction of dental caries
title_sort Artificial neural network and convolutional neural network for prediction of dental caries
publishDate 2024
container_title Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
container_volume 312
container_issue
doi_str_mv 10.1016/j.saa.2024.124063
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185721653&doi=10.1016%2fj.saa.2024.124063&partnerID=40&md5=eeb3077848397b02d3bf28efb5d54b4b
description Dental caries has high prevalence among kids and adults thus it has become one of the global health concerns. The current modern dentistry focused on the preventives measures to reduce the number of dental caries cases. The employment of machine learning coupled with UV spectroscopy plays a crucial role to detect the early stage of caries. Artificial neural network with hyperparameter tuning was employed to train spectral data for the classification based on the International Caries Detection and Assesment System (ICDAS). Spectra preprocessing namely mean center (MC), autoscale (AS) and Savitzky Golay smoothing (SG) were applied on the data for spectra correction. The best performance of ANN model obtained has accuracy of 0.85 with precision of 1.00. Convolutional neural network (CNN) combined with Savitzky Golay smoothing performed on the spectral data has accuracy, precision, sensitivity and specificity for validation data of 1.00 respectively. The result obtained shows that the application of ANN and CNN capable to produce robust model to be used as an early screening of dental caries. © 2024 Elsevier B.V.
publisher Elsevier B.V.
issn 13861425
language English
format Article
accesstype
record_format scopus
collection Scopus
_version_ 1809678005730017280