Early Diagnosis of Parkinson's Disease Using Voice Measurements: A Hybrid Method of Least Squares Support Vector Regression and Fuzzy Clustering

Hossein Ahmadi; Lin Huo; Goli Arji; Abbas  Sheikhtaheri; Shang-Ming Zhou

Early Diagnosis of Parkinson's Disease Using Voice Measurements: A Hybrid Method of Least Squares Support Vector Regression and Fuzzy Clustering

Hossein Ahmadi^*, Lin Huo, Goli Arji, Abbas Sheikhtaheri, Shang-Ming Zhou

^*Corresponding author for this work

School of Nursing and Midwifery

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	Biocybernetics and Biomedical Engineering
Publication status	Accepted/In press - 17 Aug 2024

Embargoed Document

Accepted version of the paper- BBE-D-23-00793_R1
Accepted author manuscript, 6.31 MB
Embargo ends: 31/12/99

Cite this

@article{f54bf83cfbbf4db58d9f448a84b24d2e,

title = "Early Diagnosis of Parkinson's Disease Using Voice Measurements: A Hybrid Method of Least Squares Support Vector Regression and Fuzzy Clustering",

author = "Hossein Ahmadi and Lin Huo and Goli Arji and Abbas Sheikhtaheri and Shang-Ming Zhou",

year = "2024",

month = aug,

day = "17",

language = "English",

journal = "Biocybernetics and Biomedical Engineering",

issn = "0208-5216",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Early Diagnosis of Parkinson's Disease Using Voice Measurements: A Hybrid Method of Least Squares Support Vector Regression and Fuzzy Clustering

AU - Ahmadi, Hossein

AU - Huo, Lin

AU - Arji, Goli

AU - Sheikhtaheri, Abbas

AU - Zhou, Shang-Ming

PY - 2024/8/17

Y1 - 2024/8/17

M3 - Article

SN - 0208-5216

JO - Biocybernetics and Biomedical Engineering

JF - Biocybernetics and Biomedical Engineering

ER -