This paper is in the following e-collection/theme issue:

Machine Learning (960) Artificial Intelligence (625) New Methods (649) Computer-Aided Diagnosis (42)

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
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Bhangale K, Mohanaprasad K. A review on speech processing using machine learning paradigm. International Journal of Speech Technology 2021;24(2):367 View
  2. Rosenblum S, Richardson A, Meyer S, Nevo T, Sinai M, Hassin-Baer S. DailyCog: A Real-World Functional Cognitive Mobile Application for Evaluating Mild Cognitive Impairment (MCI) in Parkinson’s Disease. Sensors 2021;21(5):1788 View