Literature DB >> 19592958

Predictive modeling of dental pain using neural network.

Eun Yeob Kim1, Kun Ok Lim, Hyun Sill Rhee.   

Abstract

The mouth is a part of the body for ingesting food that is the most basic foundation and important part. The dental pain predicted by the neural network model. As a result of making a predictive modeling, the fitness of the predictive modeling of dental pain factors was 80.0%. As for the people who are likely to experience dental pain predicted by the neural network model, preventive measures including proper eating habits, education on oral hygiene, and stress release must precede any dental treatment.

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Year:  2009        PMID: 19592958

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  The effect of a deep-learning tool on dentists' performances in detecting apical radiolucencies on periapical radiographs.

Authors:  Manal H Hamdan; Lyudmila Tuzova; André Mol; Peter Z Tawil; Dmitry Tuzoff; Donald A Tyndall
Journal:  Dentomaxillofac Radiol       Date:  2022-09-12       Impact factor: 3.525

Review 2.  History and application of artificial neural networks in dentistry.

Authors:  Wook Joo Park; Jun-Beom Park
Journal:  Eur J Dent       Date:  2018 Oct-Dec
  2 in total

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