Ying He
9 Papers
Ying He is an academic researcher. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 2, co-authored 8 publications.
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Papers
Strengthening the quality of clinical trials of acupuncture: a guideline protocol
TL;DR: A guideline to strengthen the quality of acupuncture clinical trials is developed in accordance with WHO handbook for guideline development and the Reporting Items for practice Guidelines in HealThcare.
A Protocol of a Guideline to Establish the Evidence Ecosystem of Acupuncture
Qin Wang,Ning Li,Juan Li,Ying He,Yuxi Li,Dongling Zhong,Xiaobo Liu,Jin Fan,Rongjiang Jin,Deying Kang,Yonggang Zhang +10 more
TL;DR: This protocol describes all steps that will be followed in line with the World Health Organization Handbook for Guideline Development and the Reporting Items for practice Guidelines in Healthcare (RIGHT) to establish the evidence ecosystem of acupuncture.
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Effect of Kinesio taping on Pregnancy-related low back pain: A protocol for systematic review and meta-analysis
Xiali Xue,Xinwei Yang,Zhongyi Deng,Yan Chen,Xiaorong Mao,Huan Tu,Ling-shan Zhou,Ning Li,Junzhi Sun,Ying He,Shuang Zhang +10 more
TL;DR: This study proposes a protocol for a systematic review and meta-analysis of published Randomized Controlled Trials (RCTs) to evaluate the efficacy and safety of KT for PLBP and analyzes the effect of KT on improving PLBP.
Development of a Core Outcome Set for Randomised Controlled Trials of Nursing Education: A Methodological Framework
Ling Yun Chen,Shanxia Luo,Mutong Yang,Nian Li,Ying He,Yonggang Zhang +5 more
TL;DR: In this article , the authors report the methodological framework to establish a core outcome set (COS) for RCTs of nursing education, which includes stakeholders' interest in nursing education to determine which outcomes should be reported and how they should be measured.
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Establishing a Regulatory Science System for Supervising the Application of Artificial Intelligence for Traditional Chinese Medicine: A Methodological Framework
TL;DR: The guideline will provide the basis for national authorities to effectively regulate artificial intelligence technology and enrich the supervisory system for TCM, and it will be of great significance to TCM.
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