A multimodal explainable artificial intelligence framework for interpretable Parkinson's disease prediction.
Overview
- Research Scholar, SR University,Warangal, Telangana India
- Faculty, CSE Panipat Institute of Engineering and Technology, Panipat, India
- Department of AI & ML, SR University,Warangal, Telangana India
- Department of Computer Science & Engineering, Maharishi Markandeshwar deemed to be University, Mullana, Ambala India
- Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab, India
- Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University),Pune, India
- Department of Data Science and Analytics, College of Computing, Grand Valley State University,Michigan, USA
- Chitkara Business School, Chitkara University,Punjab, India
Abstract
The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.
Code
No file of the authors' code could be read here: it is described below, and read at its source.
Zenodo 18297490
Availability: 1 check, the latest on 29 September 2026: the link answers (HTTP 200)
- 29 September 2026: the link answers (HTTP 200)
The paper's code and data availability statement is in the Data section.
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Data
Datasets cited
- kaggle.com/
datasets/ , at Kaggle; found in “Data availability”leilahasan
Code and data availability statement
The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- it points to a dataset: kaggle.com/
datasets/ leilahasan - it points to the authors' code: Zenodo 18297490
Read it in the paper: doi.org/10.1038/s41598-026-47769-z.
Versions
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Version 1, 29 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 10 keywords, 11 MeSH terms, 1 funder, 37 references.
Cite
This paper
Mehta, V., Maram, B., Garg, J., Kumar, N., Raut, P. T., Selvarathinam, A. L. X. R. A., & Jindal, P. (2026). A multimodal explainable artificial intelligence framework for interpretable Parkinson's disease prediction. Scientific reports, 16(1), 18143. https://
BibTeX
@article{mehta2026multim
author = {Mehta, Vaishali and Maram, Balajee and Garg, Jyoti and Kumar, Naveen and Raut, Prakash Tukaram and Selvarathinam, Anto Lourdu Xavier Raj Arockia and Jindal, Priya},
title = {{A multimodal explainable artificial intelligence framework for interpretable Parkinson's disease prediction}},
journal = {Scientific reports},
year = {2026},
month = apr,
volume = {16},
number = {1},
pages = {18143},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/
url = {https://
pmid = {42002559},
pmcid = {PMC13254398}
}
RIS
TY - JOUR
AU - Mehta, Vaishali
AU - Maram, Balajee
AU - Garg, Jyoti
AU - Kumar, Naveen
AU - Raut, Prakash Tukaram
AU - Selvarathinam, Anto Lourdu Xavier Raj Arockia
AU - Jindal, Priya
TI - A multimodal explainable artificial intelligence framework for interpretable Parkinson's disease prediction
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/
VL - 16
IS - 1
SP - 18143
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
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The tracing map gets a citation of its own once an author has validated it and it has a DOI.
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