Using sustained vowels to identify patients with mild Parkinson’s disease in a Chinese dataset

• Published in: Frontiers in aging neuroscience Vol. 16; p. 1377442
• Main Authors: Wang, Miao, Zhao, Xingli, Li, Fengzhu, Wu, Lingyu, Li, Yifan, Tang, Ruonan, Yao, Jiarui, Lin, Shinuan, Zheng, Yuan, Ling, Yun, Ren, Kang, Chen, Zhonglue, Yin, Xi, Wang, Zhenfu, Gao, Zhongbao, Zhang, Xi
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 03.05.2024; Frontiers Media S.A
• Subjects: Accuracy; Aging Neuroscience; Algorithms; Chinese database; Cognitive ability; Dementia; Diagnosis; Disease; Dysarthria; early diagnosis; Ethics; Hearing loss; Illiteracy; Machine learning; Movement disorders; Neurodegenerative diseases; Parkinson's disease; Patients; Quality of life; Speaking; voice; early diagnosis; voice; Chinese database; machine learning; Parkinson’s disease

Parkinson's disease (PD) is the second most common neurodegenerative disease and affects millions of people. Accurate diagnosis and subsequent treatment in the early stages can slow down disease progression. However, making an accurate diagnosis of PD at an early stage is challenging. Previous...