{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["2022"],"submitter":["Lu PH"],"pubmed_abstract":["Obesity is a prevalent metabolic disease that increases the risk of other diseases, such as hypertension, diabetes, hyperlipidemia, cardiovascular disease, and certain cancers. A meta-analysis of 11 randomized sham-controlled trials indicates that acupuncture had adjuvant benefits in improving simple obesity, and previous studies have reported that acupoint combinations were more useful than single-acupoint therapy. The Apriori algorithm, a data mining-based analysis that finds potential correlations in datasets, is broadly applied in medicine and business. This study, based on the Apriori algorithm-based association rule analysis, found the association rules of acupoints among 11 randomized controlled trials (RCTs). There were 23 acupoints extracted from 11 RCTs. We used Python to calcula"],"journal":["Evidence-based complementary and alternative medicine : eCAM"],"pagination":["7252213"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8947926"],"repository":["biostudies-literature"],"pubmed_title":["Combined Acupoints for the Treatment of Patients with Obesity: An Association Rule Analysis."],"pmcid":["PMC8947926"],"pubmed_authors":["Huang HF","Liao YL","Chen YY","Lu PH","Yu WH","Kuo CY","Tsai FM"],"additional_accession":[]},"is_claimable":false,"name":"Combined Acupoints for the Treatment of Patients with Obesity: An Association Rule Analysis.","description":"Obesity is a prevalent metabolic disease that increases the risk of other diseases, such as hypertension, diabetes, hyperlipidemia, cardiovascular disease, and certain cancers. A meta-analysis of 11 randomized sham-controlled trials indicates that acupuncture had adjuvant benefits in improving simple obesity, and previous studies have reported that acupoint combinations were more useful than single-acupoint therapy. The Apriori algorithm, a data mining-based analysis that finds potential correlations in datasets, is broadly applied in medicine and business. This study, based on the Apriori algorithm-based association rule analysis, found the association rules of acupoints among 11 randomized controlled trials (RCTs). There were 23 acupoints extracted from 11 RCTs. We used Python to calcula","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022","modification":"2025-04-05T15:51:03.146Z","creation":"2025-04-05T15:51:03.146Z"},"accession":"S-EPMC8947926","cross_references":{"pubmed":["35341146"],"doi":["10.1155/2022/7252213"]}}