Published on in Vol 8, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18689, first published .
An Intelligent Mobile-Enabled System for Diagnosing Parkinson Disease: Development and Validation of a Speech Impairment Detection System

An Intelligent Mobile-Enabled System for Diagnosing Parkinson Disease: Development and Validation of a Speech Impairment Detection System

An Intelligent Mobile-Enabled System for Diagnosing Parkinson Disease: Development and Validation of a Speech Impairment Detection System

Authors of this article:

Liang Zhang 1 Author Orcid Image ;   Yue Qu 2 Author Orcid Image ;   Bo Jin 2 Author Orcid Image ;   Lu Jing 3 Author Orcid Image ;   Zhan Gao 4 Author Orcid Image ;   Zhanhua Liang 3 Author Orcid Image

Journals

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  14. Mondol S, Kim R, Lee S. Hybrid Machine Learning Framework for Multistage Parkinson’s Disease Classification Using Acoustic Features of Sustained Korean Vowels. Bioengineering 2023;10(8):984 View
  15. Idrisoglu A, Dallora A, Anderberg P, Berglund J. Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review. Journal of Medical Internet Research 2023;25:e46105 View
  16. Hireš M, Drotár P, Pah N, Ngo Q, Kumar D. On the inter-dataset generalization of machine learning approaches to Parkinson's disease detection from voice. International Journal of Medical Informatics 2023;179:105237 View