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

Web-based and Mobile Health Interventions (3297) Machine Learning (1465) Artificial Intelligence (1371) New Methods (944) Big Data Analytics for Elder Care (22) Mobile Devices and Apps for Seniors and Healthy Aging (167) Speech-Language Therapy (11) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26305, first published .
Detecting Parkinson Disease Using a Web-Based Speech Task: Observational Study

Detecting Parkinson Disease Using a Web-Based Speech Task: Observational Study

Detecting Parkinson Disease Using a Web-Based Speech Task: Observational Study

Authors of this article:

Wasifur Rahman1 Author Orcid Image ;   Sangwu Lee1 Author Orcid Image ;   Md Saiful Islam1 Author Orcid Image ;   Victor Nikhil Antony1 Author Orcid Image ;   Harshil Ratnu1 Author Orcid Image ;   Mohammad Rafayet Ali1 Author Orcid Image ;   Abdullah Al Mamun1 Author Orcid Image ;   Ellen Wagner2 Author Orcid Image ;   Stella Jensen-Roberts2 Author Orcid Image ;   Emma Waddell2 Author Orcid Image ;   Taylor Myers2 Author Orcid Image ;   Meghan Pawlik2 Author Orcid Image ;   Julia Soto2 Author Orcid Image ;   Madeleine Coffey2 Author Orcid Image ;   Aayush Sarkar2 Author Orcid Image ;   Ruth Schneider2, 3 Author Orcid Image ;   Christopher Tarolli2, 3 Author Orcid Image ;   Karlo Lizarraga2, 3 Author Orcid Image ;   Jamie Adams2, 3 Author Orcid Image ;   Max A Little4, 5 Author Orcid Image ;   E Ray Dorsey2 Author Orcid Image ;   Ehsan Hoque1 Author Orcid Image
Article Authors Cited by (26) Tweetations (19) Metrics

Journals

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  7. Gagliardi G. Natural language processing techniques for studying language in pathological ageing: A scoping review. International Journal of Language & Communication Disorders 2024;59(1):110 View
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  9. 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
  10. Rahman W, Abdelkader A, Lee S, Yang P, Islam M, Adnan T, Hasan M, Wagner E, Park S, Dorsey E, Schwartz C, Jaffe K, Hoque E. A User-Centered Framework to Empower People with Parkinson's Disease. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2023;7(4):1 View
  11. Felix C, Johnston J, Owen K, Shirima E, Hinds S, Mandl K, Milinovich A, Alberts J. Explainable machine learning for predicting conversion to neurological disease: Results from 52,939 medical records. DIGITAL HEALTH 2024;10 View
  12. Mangalam M, Kelty-Stephen D. Multifractal perturbations to multiplicative cascades promote multifractal nonlinearity with asymmetric spectra. Physical Review E 2024;109(6) View
  13. Klempíř O, Krupička R. Analyzing Wav2Vec 1.0 Embeddings for Cross-Database Parkinson’s Disease Detection and Speech Features Extraction. Sensors 2024;24(17):5520 View
  14. Mangalam M, Seckler H, Kelty-Stephen D. Machine-learning classification with additivity and diverse multifractal pathways in multiplicativity. Physical Review Research 2024;6(3) View
  15. van Gelderen L, Tejedor-García C. Innovative Speech-Based Deep Learning Approaches for Parkinson’s Disease Classification: A Systematic Review. Applied Sciences 2024;14(17):7873 View
  16. Teixeira da Silva J. Use of the “quick brown fox jumps over the lazy dog” pangram in academic papers. Journal of Electrical Systems and Information Technology 2024;11(1) View

Books/Policy Documents

  1. Rochester L, Del Din S, Hu M, Morgan C, Carroll C. Digital Technologies in Movement Disorders. View
  2. Adams J, Waddell E, Chunga N, Quinn L. Biomarkers for Huntington's Disease. View
  3. Jansi K, Vidhya S, Sandhia G. Intelligent Solutions for Cognitive Disorders. View
  4. Abhijith K, Sarath R, Santhosh P, Mohan J, Abraham B. Intelligent Informatics. View