Prediction of clinical efficacy of acupuncture intervention on upper limb dysfunction after ischemic stroke based on machine learning: a study driven by DSA diagnostic reports data

Prediction of clinical efficacy of acupuncture intervention on upper limb dysfunction after ischemic stroke based on machine learning: a study driven by DSA diagnostic reports data

ObjectiveTo develop a machine learning-based model for predicting the clinical efficacy of acupuncture intervention in patients with upper limb dysfunction following ischemic stroke, and to assess its potential role in guiding clinical practice.MethodsData from 1,375 ischemic stroke patients with up...

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Bibliographic Details
Main Authors: Yaning Liu, Yuqi Tang, Zechen Li, Pei Yu, Jing Yuan, Lichuan Zeng, Can Wang, Su Li, Ling Zhao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Neurology
Subjects:
stroke
machine learning
DSA
AutoGluon
upper limb dysfunction
acupuncture
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2024.1441886/full
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