Unknown

Dataset Information

Decision tree model based prediction of the efficacy of acupuncture in methadone maintenance treatment.


ABSTRACT:

Background

Patients with MMT often face difficulties such as sleep disturbance, headaches, and difficulty in complete abstinence from drugs. Research has shown that acupuncture can mitigate side effects while attenuating methadone dependence. It also has a synergistic and attenuated effect on methadone maintenance treatment (MMT). Exploring the predictors of the efficacy of acupuncture intervention in MMT might help clinicians and patients promote acupuncture-assisted participation in MMT, and improve clinical treatment strategies for MMT.

Objective

To describe the effect of potential predictors on MMT after acupuncture intervention by building a decision-tree model of data from A Clinical Study of Acupuncture-assisted MMT.

Design setting and participants

In th

SUBMITTER: Dong Y 

PROVIDER: S-EPMC9582273 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature