An Improved Apriori Association Rule for the Identification of Acupoints Combination in Treating COVID-19 Patients.

Zheng Y

DOI: 10.1155/2022/3900094
Published: 2022
Container: Computational intelligence and neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/3900094,
  title = {An Improved Apriori Association Rule for the Identification of Acupoints Combination in Treating COVID-19 Patients.},
  author = {Zheng Y},
  year = {2022},
  journal = {Computational intelligence and neuroscience},
  doi = {10.1155/2022/3900094},
  url = {https://doi.org/10.1155/2022/3900094}
}

RIS

TY  - JOUR
TI  - An Improved Apriori Association Rule for the Identification of Acupoints Combination in Treating COVID-19 Patients.
AU  - Zheng Y
PY  - 2022
JO  - Computational intelligence and neuroscience
DO  - 10.1155/2022/3900094
UR  - https://doi.org/10.1155/2022/3900094
ER  -

APA

Y, Z. (2022). An Improved Apriori Association Rule for the Identification of Acupoints Combination in Treating COVID-19 Patients.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/3900094

Source records

pubmed · retrieved 2026-09-25T12:27:31.635Z
europe-pmc · retrieved 2026-09-25T12:27:32.529Z