Accuracy Analysis of Type-2 Fuzzy System in Predicting Parkinson's Disease Using Biomedical Voice Measures

Accuracy Analysis of Type-2 Fuzzy System in Predicting Parkinson's Disease Using Biomedical Voice Measures

Parkinson's disease (PD) is a progressive neurodegenerative illness triggered by decreased dopamine secretion. Fuzzy logic has gained substantial attention in PD diagnosis research. PD detection using fuzzy logic has presented more precise outcomes as compared with common machine learning appro...

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Bibliographic Details
Published in:INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
Main Authors: Nilashi, Mehrbakhsh; Abumalloh, Rabab Ali; Ahmadi, Hossein; Samad, Sarminah; Alyami, Sultan; Alghamdi, Abdullah; Alrizq, Mesfer; Yusuf, Salma Yasmin Mohd
Format: Article; Early Access
Language:English
Published: SPRINGER HEIDELBERG 2024
Subjects:
Automation & Control Systems; Computer Science
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001169638000001

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