A Support Vector Machine Method With Correlation-Based Recursive Feature Elimination for the Early Diagnosis of Alzheimer's Disease.
- DOI
- 10.31083/jin51378
- Published
- 2026 Oct 26
- Container
- Journal of integrative neuroscience
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.31083/jin51378,
title = {A Support Vector Machine Method With Correlation-Based Recursive Feature Elimination for the Early Diagnosis of Alzheimer's Disease.},
author = {Zhong H and Sheng J and Zhang Q and Gong Z and Zhang R and Sun Z and Zhu X and Cheng Y},
year = {2026},
journal = {Journal of integrative neuroscience},
doi = {10.31083/jin51378},
url = {https://doi.org/10.31083/jin51378}
}RIS
TY - JOUR TI - A Support Vector Machine Method With Correlation-Based Recursive Feature Elimination for the Early Diagnosis of Alzheimer's Disease. AU - Zhong H AU - Sheng J AU - Zhang Q AU - Gong Z AU - Zhang R AU - Sun Z AU - Zhu X AU - Cheng Y PY - 2026 JO - Journal of integrative neuroscience DO - 10.31083/jin51378 UR - https://doi.org/10.31083/jin51378 ER -
APA
H, Z., J, S., Q, Z., Z, G., R, Z., Z, S., X, Z., & Y, C. (2026). A Support Vector Machine Method With Correlation-Based Recursive Feature Elimination for the Early Diagnosis of Alzheimer's Disease.. Journal of integrative neuroscience. https://doi.org/10.31083/jin51378
Source records
- pubmed · retrieved 2026-11-10T07:01:05.029Z