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ABSTRACT: Background
Post-stroke hemiparesis strongly affects stroke patients' activities of daily living and health-related quality of life. Scalp acupuncture (SA) is reportedly beneficial for post-stroke hemiparesis. However, there is still no standard of SA for the treatment of post-stroke hemiparesis. Apriori algorithm-based association rule analysis is a kind of "if-then" rule-based machine learning method suitable for investigating the underlying rules of acupuncture point/location selections. This study aimed to investigate the core SA combinations for the treatment of post-stroke hemiparesis by using a systematic review and Apriori algorithm-based association rule analysis.Methods
We conducted a systematic review to include relevant randomized controlled trial (
SUBMITTER: Wang YF
PROVIDER: S-EPMC9389219 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature