A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study.
- DOI
- 10.2196/94063
- Published
- 2026 Jun 11
- Container
- JMIR medical informatics
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.2196/94063,
title = {A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study.},
author = {Zahir A and Yu J and Jun JS and Park K and Kim R and Jeong H},
year = {2026},
journal = {JMIR medical informatics},
doi = {10.2196/94063},
url = {https://doi.org/10.2196/94063}
}RIS
TY - JOUR TI - A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study. AU - Zahir A AU - Yu J AU - Jun JS AU - Park K AU - Kim R AU - Jeong H PY - 2026 JO - JMIR medical informatics DO - 10.2196/94063 UR - https://doi.org/10.2196/94063 ER -
APA
A, Z., J, Y., JS, J., K, P., R, K., & H, J. (2026). A Machine Learning Approach to Voice-Based Parkinson Disease Screening Using Multiview Spectrogram and Speech Recognition Features: Diagnostic Study.. JMIR medical informatics. https://doi.org/10.2196/94063
Source records
- pubmed · retrieved 2026-09-24T22:25:51.458Z
- europe-pmc · retrieved 2026-09-24T22:25:51.469Z