The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
An efficient diagnosis system for detection of Parkinson’s disease using fuzzy k-nearest neighbor approach
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Citations
Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Nearest neighbor pattern classification
Cover, T., & Hart, P. (1967) · IEEE Transactions on Information Theory · doi:10.1109/tit.1967.1053964 · Cited by 16,936
A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection
Kohavi, R. (1995) · Zenodo · doi:10.5281/zenodo.19712698 · Cited by 10,909
Cited by
Comparing different supervised machine learning algorithms for disease prediction
Uddin, S., Khan, A., Hossain, M. E., & Moni, M. A. (2019) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-019-1004-8 · Cited by 1,627
Boateng, E. Y., Otoo, J., & Abaye, D. A. (2020) · Journal of Data Analysis and Information Processing · doi:10.4236/jdaip.2020.84020 · Cited by 462
Chen, H.-L., Wang, G., Ma, C., Cai, Z.-N., Liu, W.-B., & Wang, S.-J. (2016) · Neurocomputing · doi:10.1016/j.neucom.2015.07.138 · Cited by 256
Self-citationAn analytical method for diseases prediction using machine learning techniques
Nilashi, M., Ibrahim, O. B., Ahmadi, H., & Shahmoradi, L. (2017) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2017.06.011 · Cited by 190
Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
Raghavendra, U., Acharya, U. R., & Adeli, H. (2019) · European Neurology · doi:10.1159/000504292 · Cited by 174
Metadata
- Authors
- Chen, H.-L., Huang, C.-C., Yu, X.-G., Xu, X., Sun, X., Wang, G., & Wang, S.-J.
- Venue
- Expert Systems with Applications
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 40
- Issue
- 1
- Pages
- 263-271
- ISSN
- 0957-4174 (ISSN-L)
- OpenAlex
- W2049623605
- Cited by
- 303
- References
- 4
- FWCI
- 18.37
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: An efficient diagnosis system for detection of Parkinson’s disease using fuzzy k-nearest neighbor approach. https://app.cochat.ai/papers/10.1016/j.eswa.2012.07.014
- The paper
- Chen, H.-L., Huang, C.-C., Yu, X.-G., Xu, X., Sun, X., Wang, G., & Wang, S.-J. (2013). An efficient diagnosis system for detection of Parkinson’s disease using fuzzy k-nearest neighbor approach. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2012.07.014
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
