Predicting and Weighting the Factors Affecting Workers’ Hearing Loss Based on Audiometric Data Using C5 Algorithm
Authors
Sajad Zare
Department of Occupational Health, School of Public Health, Kerman University of Medical Sciences, Kerman
Mohammad Reza Ghotbi-Ravandi
Department of Occupational Health, School of Public Health, Kerman University of Medical Sciences, Kerman
Hossein ElahiShirvan
Student Research Committee, Kerman University of Medical Sciences, Kerman
Mostafa Ghazizadeh Ahsaee
GhazizadehAhsaee.most@stu-mail.um.ac.ir
Department of Computer Engineering, Shahid Bahonar University of Kerman
Mina Rostami
Student Research Committee, Kerman University of Medical Sciences, Kerman
DOI: https://doi.org/10.5334/aogh.2522 | Journal eISSN: 2214-9996
Language: English
Published on: Jun 18, 2019
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
© 2019 Sajad Zare, Mohammad Reza Ghotbi-Ravandi, Hossein ElahiShirvan, Mostafa Ghazizadeh Ahsaee, Mina Rostami, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.