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

Machine Learning (1934) Artificial Intelligence (1964) New Methods (1090) Computer-Aided Diagnosis (215) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (94)

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 Zhang1 Author Orcid Image ;   Yue Qu2 Author Orcid Image ;   Bo Jin2 Author Orcid Image ;   Lu Jing3 Author Orcid Image ;   Zhan Gao4 Author Orcid Image ;   Zhanhua Liang3 Author Orcid Image
Article Authors Cited by (30) Tweetations (2) Metrics

Journals

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  10. Sarankumar R, Vinod D, Anitha K, Manohar G, Vijayanand K, Pant B, Sundramurthy V, Uddin Z. Severity Prediction over Parkinson’s Disease Prediction by Using the Deep Brooke Inception Net Classifier. Computational Intelligence and Neuroscience 2022;2022:1 View
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  13. Adams J, Kangarloo T, Tracey B, O’Donnell P, Volfson D, Latzman R, Zach N, Alexander R, Bergethon P, Cosman J, Anderson D, Best A, Severson J, Kostrzebski M, Auinger P, Wilmot P, Pohlson Y, Waddell E, Jensen-Roberts S, Gong Y, Kilambi K, Herrero T, Ray Dorsey E, Adams J, Tarolli C, Soto J, Hogarth P, Wahedi M, Wakeman K, Espay A, Brown J, Wurzelbacher C, Gunzler S, Khawam E, Kilbane C, Spindler M, Engeland M, Tarakad A, Barrett M, Cloud L, Norris V, Mari Z, Wyant K, Chou K, Stovall A, Poon C, Simuni T, Tingling K, Luthra N, Tanner C, Yilmaz E, Romero D, Thomas K, Matson L, Richardson L, Fullard M, Feuerstein J, Shelton E, Shprecher D, Callan M, Feigin A, Romano C, Romain M, Shum M, Botting E, Harrell L, Rocha C, Ramdhani R, Gardner J, Parker G, Ross V, Stephen S, Fisher K, Edgerton J, Cedarbaum J, Rubens R, Padmanabhan J, Stephenson D, Severson B, Merickel M, Amato D, Carroll T. Using a smartwatch and smartphone to assess early Parkinson’s disease in the WATCH-PD study. npj Parkinson's Disease 2023;9(1) View
  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
  17. Ahmadi H, Huo L, Arji G, Sheikhtaheri A, Zhou S. Early diagnosis of Parkinson’s disease using a hybrid method of least squares support vector regression and fuzzy clustering. Biocybernetics and Biomedical Engineering 2024;44(3):569 View
  18. Mohsin S, Salman O, Jasim A, Al-Nouman M, Kairaldeen A. A systematic review on the roles of remote diagnosis in telemedicine system: Coherent taxonomy, insights, recommendations, and open research directions for intelligent healthcare solutions. Artificial Intelligence in Medicine 2025;160:103057 View
  19. De Silva U, Madanian S, Olsen S, Templeton J, Poellabauer C, Schneider S, Narayanan A, Rubaiat R. Clinical Decision Support Using Speech Signal Analysis: Systematic Scoping Review of Neurological Disorders. Journal of Medical Internet Research 2025;27:e63004 View
  20. Templeton J, Poellabauer C, Schneider S, Rahimi M, Braimoh T, Tadamarry F, Margolesky J, Burke S, Al Masry Z. Modernizing the Staging of Parkinson Disease Using Digital Health Technology. Journal of Medical Internet Research 2025;27:e63105 View
  21. Idrisoglu A, Moraes A, Cheddad A, Anderberg P, Jakobsson A, Berglund J. Vowel segmentation impact on machine learning classification for chronic obstructive pulmonary disease. Scientific Reports 2025;15(1) View
  22. Yao D, Koivu A, Simonyan K. Applications of Artificial Intelligence in Neurological Voice Disorders. World Journal of Otorhinolaryngology - Head and Neck Surgery 2025 View
  23. Dean J, Iankova V, Roberts A, Schneider S. Characteristics and Validity of Commercially Available Technologies Analyzing Voice Features to Assess Parkinson's Disease. Movement Disorders Clinical Practice 2025 View
  24. Nikhar C, Vyas G, Dalvi R, Bhoye D. Adsorption-based distillery effluent treatment: comparative analysis of machine learning models for predicting treatment efficiency. Asian Journal of Civil Engineering 2025 View
  25. Khafaga D, Eid M, Khodadadi E, El-Kenawy E, Alhussan A, Khodadadi N. Hybrid greylag goose and particle swarm optimization for early detection of Parkinson’s disease from speech features. Computers in Biology and Medicine 2025;197:110924 View

Conference Proceedings

  1. Reddy C, Kanchana M. 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA). Artificial Intelligence towards Parkinson’s disease Diagnosis: A systematic Review of Contemporary Literature View
  2. Shah R, Dave B, Parekh N, Srivastava K. 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT). Parkinson's Disease Detection - An Interpretable Approach to Temporal Audio Classification View
  3. Lei J. 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). Reform of Smart Target System and Vocal Music Online Training System Considering Voice Signal Decomposition and Reconstruction View
  4. Prabhakar S, Park D, Ju Y, Kim C, Won D. 2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC). VAMLM-PDD: Vigorous Amalgamated Machine Learning Model for Investigating Parkinson's Disease Detection View
  5. Kothadia K, M V, Abraham A, M P, Mahadeva Prasanna S, Scherer N, Chapman K, Liss J, Berisha V. ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Cross-lingual Evaluation Of Hypernasality Using Wav2Vec2 Features View