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Analysis of Acupoints Combination for Cancer-Related Anorexia Based on Association Rule Mining
We investigated the acupoint selection regulations and workable core acupoint combinations in cancer-related anorexia (CA) treatment. The Apriori algorithm, complemented by the FP-growth algorithm, was used to mine association rules based on retrieved randomized control trials (RCTs) and clinical co...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596268/ https://www.ncbi.nlm.nih.gov/pubmed/36304134 http://dx.doi.org/10.1155/2022/4251458 |
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author | Tang, Yang Liang, Yanju Wang, Xing Deng, Li |
author_facet | Tang, Yang Liang, Yanju Wang, Xing Deng, Li |
author_sort | Tang, Yang |
collection | PubMed |
description | We investigated the acupoint selection regulations and workable core acupoint combinations in cancer-related anorexia (CA) treatment. The Apriori algorithm, complemented by the FP-growth algorithm, was used to mine association rules based on retrieved randomized control trials (RCTs) and clinical control trials (CCTs). We searched the following databases for acupuncture treatment regimens for CA: PubMed, Embase, Cochrane Central, Web of Science, WanFang Data, VIP, China Journal Full-Text Database (CNKI), and SinoMed (CBM). We extracted acupoints prescriptions from the 27 enrolled RCTs and CCTs for analysis. There have been 38 acupoints refined from 27 prescriptions. The pinnacle three regularly chosen acupoints were Zusanli (ST36), Zhongwan (RN12), and Sanyinjiao (SP6). We investigated 10 association rules, and the consequences confirmed that {RN4} ≥ {RN12}, {PC6} ≥ {ST36}, {RN12, SP6} ≥ {RN4}, {HT7} ≥ {RN12}, and {DU20} ≥ {RN12} had been the most frequent associated rules in the adoption literature. Zusanli (ST36), Sanyinjiao (SP6), Guanyuan (RN4), Zhongwan (RN12), Neiguan (PC6), Shenmen (HT7), and Baihui (DU20) would be regarded as acupuncture prescriptions in the treatment of CA. |
format | Online Article Text |
id | pubmed-9596268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-95962682022-10-26 Analysis of Acupoints Combination for Cancer-Related Anorexia Based on Association Rule Mining Tang, Yang Liang, Yanju Wang, Xing Deng, Li Evid Based Complement Alternat Med Research Article We investigated the acupoint selection regulations and workable core acupoint combinations in cancer-related anorexia (CA) treatment. The Apriori algorithm, complemented by the FP-growth algorithm, was used to mine association rules based on retrieved randomized control trials (RCTs) and clinical control trials (CCTs). We searched the following databases for acupuncture treatment regimens for CA: PubMed, Embase, Cochrane Central, Web of Science, WanFang Data, VIP, China Journal Full-Text Database (CNKI), and SinoMed (CBM). We extracted acupoints prescriptions from the 27 enrolled RCTs and CCTs for analysis. There have been 38 acupoints refined from 27 prescriptions. The pinnacle three regularly chosen acupoints were Zusanli (ST36), Zhongwan (RN12), and Sanyinjiao (SP6). We investigated 10 association rules, and the consequences confirmed that {RN4} ≥ {RN12}, {PC6} ≥ {ST36}, {RN12, SP6} ≥ {RN4}, {HT7} ≥ {RN12}, and {DU20} ≥ {RN12} had been the most frequent associated rules in the adoption literature. Zusanli (ST36), Sanyinjiao (SP6), Guanyuan (RN4), Zhongwan (RN12), Neiguan (PC6), Shenmen (HT7), and Baihui (DU20) would be regarded as acupuncture prescriptions in the treatment of CA. Hindawi 2022-10-18 /pmc/articles/PMC9596268/ /pubmed/36304134 http://dx.doi.org/10.1155/2022/4251458 Text en Copyright © 2022 Yang Tang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Tang, Yang Liang, Yanju Wang, Xing Deng, Li Analysis of Acupoints Combination for Cancer-Related Anorexia Based on Association Rule Mining |
title | Analysis of Acupoints Combination for Cancer-Related Anorexia Based on Association Rule Mining |
title_full | Analysis of Acupoints Combination for Cancer-Related Anorexia Based on Association Rule Mining |
title_fullStr | Analysis of Acupoints Combination for Cancer-Related Anorexia Based on Association Rule Mining |
title_full_unstemmed | Analysis of Acupoints Combination for Cancer-Related Anorexia Based on Association Rule Mining |
title_short | Analysis of Acupoints Combination for Cancer-Related Anorexia Based on Association Rule Mining |
title_sort | analysis of acupoints combination for cancer-related anorexia based on association rule mining |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596268/ https://www.ncbi.nlm.nih.gov/pubmed/36304134 http://dx.doi.org/10.1155/2022/4251458 |
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