Noise induced hearing loss prediction model using support vector machine

Mohd Zain, Siti Fairus and Hussin, Mohamad Fahmi and Aziz, Azri and Sulaiman, Ahmad Asari and Ismail, Ismaniza (2024) Noise induced hearing loss prediction model using support vector machine. In: International Industrial Revolution 4.0 Exposition : Innovating, Transpiring Dreams. Universiti Teknologi MARA, Kedah, Universiti Teknologi MARA, Kedah, p. 74. ISBN 9789672948711

Official URL: https://sites.google.com/uitm.edu.my/irex2024/home

Abstract

Hearing Wellness is an Artificial Intelligence (AI)-powered mobile application poised to revolutionize how we approach Noise Induced Hearing Loss (NIHL) in the workplace. By harnessing the predictive prowess of Support Vector Machine (SVM) technology, this innovative application predicts the NIHL level among workers with the symptoms, to prevent the spread of this disease in the workplace. The mobile application system serves as predictive modelling system of NIHL and also aims to assist Occupational Health Doctors (OHD) in upgrading the current system from the conventional manual data keeping to digital Drawing insights from real-world NIHL cases sourced from the Department of Occupational Safety and Health Selangor (DOSH), Hearing Wellness empowers workers and Occupational Health Doctors (OHD) alike with a cutting-edge predictive modeling system. This shift from traditional manual record-keeping to seamless digital data management not only streamlines processes but also enhances efficiency in monitoring and addressing NIHL concerns. By facilitating swift intervention and fostering a safer, healthier work environment, this transformative tool is set to redefine workplace safety standards and lead the charge in mitigating the impact of NIHL.

Metadata

Item Type: Book Section
Creators:
Creators
Email / ID Num.
Mohd Zain, Siti Fairus
UNSPECIFIED
Hussin, Mohamad Fahmi
UNSPECIFIED
Aziz, Azri
UNSPECIFIED
Sulaiman, Ahmad Asari
asari100@uitm.edu.my
Ismail, Ismaniza
ismaniza@uitm.edu.my
Contributors:
Contribution
Name
Email / ID Num.
Editor
Mohd Zukhi, Mohd Zhafri
zhafri319@uitm.edu.my
Editor
Zakaria, Shahida Farhan
shahidafarhan@uitm.edu.my
Editor
Shamsuddin, Norin Rahayu
norinrahayu@uitm.edu.my
Subjects: T Technology > T Technology (General) > Technological change
T Technology > T Technology (General) > Technological change > Technological innovations
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Page Range: p. 74
Keywords: Noise induced hearing loss, Support vector machine, Prediction model, Artificial intelligence
Date: 2024
URI: https://ir.uitm.edu.my/id/eprint/143000
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