Pilot Study Employing a Machine Learning Approach as a Potential Method for Predicting Parkinson’s Disease Using Voice as a Digital Biomarker and the SHAP Approach for Feature Engineering
- DOI
- 10.3390/bioengineering13080917
- Published
- 2026-08-13
- Container
- Bioengineering
- Publisher
- MDPI AG
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.3390/bioengineering13080917,
title = {Pilot Study Employing a Machine Learning Approach as a Potential Method for Predicting Parkinson’s Disease Using Voice as a Digital Biomarker and the SHAP Approach for Feature Engineering},
author = {Mehdi Rashidi and Syed Adil Hussain Shah and Chiara Coppola and Andrea Buccoliero and Serena Arima and Angela Lupo and Filomena My and Marta Lorenzo and Marcello Donzella and Michele Maffia},
year = {2026},
journal = {Bioengineering},
doi = {10.3390/bioengineering13080917},
url = {https://doi.org/10.3390/bioengineering13080917}
}RIS
TY - JOUR TI - Pilot Study Employing a Machine Learning Approach as a Potential Method for Predicting Parkinson’s Disease Using Voice as a Digital Biomarker and the SHAP Approach for Feature Engineering AU - Mehdi Rashidi AU - Syed Adil Hussain Shah AU - Chiara Coppola AU - Andrea Buccoliero AU - Serena Arima AU - Angela Lupo AU - Filomena My AU - Marta Lorenzo AU - Marcello Donzella AU - Michele Maffia PY - 2026 JO - Bioengineering DO - 10.3390/bioengineering13080917 UR - https://doi.org/10.3390/bioengineering13080917 ER -
APA
Rashidi, M., Shah, S. A. H., Coppola, C., Buccoliero, A., Arima, S., Lupo, A., My, F., Lorenzo, M., Donzella, M., & Maffia, M. (2026). Pilot Study Employing a Machine Learning Approach as a Potential Method for Predicting Parkinson’s Disease Using Voice as a Digital Biomarker and the SHAP Approach for Feature Engineering. Bioengineering. https://doi.org/10.3390/bioengineering13080917
Source records
- crossref · retrieved 2026-09-26T13:42:30.072Z