The Identification of Chinese Herbal Medicine Combination Association Rule Analysis Based on an Improved Apriori Algorithm in Treating Patients with COVID-19 Disease.
- DOI
- 10.1155/2022/6337082
- Published
- 2022
- Container
- Journal of healthcare engineering
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1155/2022/6337082,
title = {The Identification of Chinese Herbal Medicine Combination Association Rule Analysis Based on an Improved Apriori Algorithm in Treating Patients with COVID-19 Disease.},
author = {Zheng Y and Chen Y},
year = {2022},
journal = {Journal of healthcare engineering},
doi = {10.1155/2022/6337082},
url = {https://doi.org/10.1155/2022/6337082}
}RIS
TY - JOUR TI - The Identification of Chinese Herbal Medicine Combination Association Rule Analysis Based on an Improved Apriori Algorithm in Treating Patients with COVID-19 Disease. AU - Zheng Y AU - Chen Y PY - 2022 JO - Journal of healthcare engineering DO - 10.1155/2022/6337082 UR - https://doi.org/10.1155/2022/6337082 ER -
APA
Y, Z., & Y, C. (2022). The Identification of Chinese Herbal Medicine Combination Association Rule Analysis Based on an Improved Apriori Algorithm in Treating Patients with COVID-19 Disease.. Journal of healthcare engineering. https://doi.org/10.1155/2022/6337082
Source records
- pubmed · retrieved 2026-09-25T01:55:28.356Z