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A stacked multi-classifier for multi-modal data fusion in transcranial sonography-based Parkinson's disease assessment.

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Paper

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The authors' code

Markdown · 17 lines · 538 B · no license

  1. # Fusion_Features_Assessment
  3. Thank you for visiting our repository!
  5. ## Overview
  7. This repository will host the code for radiomics feature extraction and basic machine learning analysis methods related to our forthcoming publication.
  9. ## Important Notice
  11. The code will be made publicly available once the paper is published. We appreciate your understanding and patience during this process.
  13. ## Contact
  15. If you have any questions or need further information, please feel free to conact, [email hidden].
  17. Thank you for your interest!

README.md at commit dfb9d3e, no license · at the source

Overview

Authors: Hongyu Kang1, Xinyi Wang1, Yu Sun1, Shuai Li1, Zhen Song1, Chao Hou2, Xin Sun2, Fangxian Li2, Sai-kit Lam1,3, Yong-ping Zheng1,3, Wei Zhang2
  1. Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China
  2. Department of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
  3. Research Institute for Smart Ageing, The Hong Kong Polytechnic University, Hong Kong, China
Institutions: Hong Kong Polytechnic University (Hong Kong SAR China); Capital Medical University (China); Beijing Tian Tan Hospital (China)
Journal: NPJ Parkinson's disease, volume 12, issue 1, article 198
Dates: received 10 September 2025; accepted 19 May 2026; published online 27 May 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41531-026-01408-6 · PMID 42204162 · PMCID PMC13490410 · OpenAlex W7162516063
Open access: gold, a free copy (OpenAlex)
Status: empty repository
Categories: human (organism), Parkinson's (population), clinical / translational (subfield)
Methods: Connectivity, Statistics, Smoothing, state filtering, decompositions, Machine learning, fMRI & imaging
Keywords: Computational biology and bioinformatics, Diseases, Neurology, Neuroscience
Topic: Parkinson's Disease Mechanisms and Treatments (Neurology, Medicine), according to OpenAlex
Funding: Research Institute for Smart Ageing of The Hong Kong Polytechnic University (1-CD5B)
Citations: not cited yet (Europe PMC); 72 references in the paper

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.

Repository

Its files are read in the Code ↔ Paper reader above.

HongyuKang0306/Fusion_Features_Assessment

License: none: the authors keep all their rights
State: the link answers, verified on 28 September 2026
Evidence: files inventoried
Commit: dfb9d3ec6d29e7bd0af95f414fa02912dc7caa74, 9 October 2025
Size: 1 file, 0 scripts
Software Heritage: not archived
Found in: “Code availability”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 28 September 2026: the link answers
  • 28 September 2026: the link answers
1 file
At the source: github.com/HongyuKang0306/Fusion_Features_Assessment

Code availability statement

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Read it in the paper: doi.org/10.1038/s41531-026-01408-6.

Tracing map

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What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

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Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1038/s41531-026-01408-6.

Versions

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Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 4 keywords, 1 funder, 65 references.

Cite

This paper

Kang, H., Wang, X., Sun, Y., Li, S., Song, Z., Hou, C., Sun, X., Li, F., Lam, S.-k., Zheng, Y.-p., & Zhang, W. (2026). A stacked multi-classifier for multi-modal data fusion in transcranial sonography-based Parkinson's disease assessment. NPJ Parkinson's disease, 12(1), 198. https://doi.org/10.1038/s41531-026-01408-6

BibTeX

@article{kang2026stacked,
author = {Kang, Hongyu and Wang, Xinyi and Sun, Yu and Li, Shuai and Song, Zhen and Hou, Chao and Sun, Xin and Li, Fangxian and Lam, Sai-kit and Zheng, Yong-ping and Zhang, Wei},
title = {{A stacked multi-classifier for multi-modal data fusion in transcranial sonography-based Parkinson's disease assessment}},
journal = {NPJ Parkinson's disease},
year = {2026},
month = may,
volume = {12},
number = {1},
pages = {198},
publisher = {Nature Publishing Group},
issn = {2373-8057},
doi = {10.1038/s41531-026-01408-6},
url = {https://doi.org/10.1038/s41531-026-01408-6},
pmid = {42204162},
pmcid = {PMC13490410}
}

RIS

TY - JOUR
AU - Kang, Hongyu
AU - Wang, Xinyi
AU - Sun, Yu
AU - Li, Shuai
AU - Song, Zhen
AU - Hou, Chao
AU - Sun, Xin
AU - Li, Fangxian
AU - Lam, Sai-kit
AU - Zheng, Yong-ping
AU - Zhang, Wei
TI - A stacked multi-classifier for multi-modal data fusion in transcranial sonography-based Parkinson's disease assessment
T2 - NPJ Parkinson's disease
J2 - NPJ Parkinsons Dis
PY - 2026
DA - 2026/05/27
VL - 12
IS - 1
SP - 198
SN - 2373-8057
PB - Nature Publishing Group
DO - 10.1038/s41531-026-01408-6
UR - https://doi.org/10.1038/s41531-026-01408-6
LA - en
ER -

CSL-JSON

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