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为一项名为“系统评价与人工智能网络荟萃分析(RAIN)”的新综述研究设计的执行方案,首次应用于2019冠状病毒病。

Executive protocol designed for new review study called: systematic review and artificial intelligence network meta-analysis (RAIN) with the first application for COVID-19.

作者信息

Salari Nader, Shohaimi Shamarina, Kiaei Aliakbar, Hosseinian-Far Amin, Mansouri Kamran, Ahmadi Arash, Mohammadi Masoud

机构信息

Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Department of Biology, Faculty of Science, University Putra Malaysia, Serdang, Selangor, Malaysia.

出版信息

Biol Methods Protoc. 2023 Jan 17;8(1):bpac038. doi: 10.1093/biomethods/bpac038. eCollection 2023.

Abstract

Artificial intelligence (AI) as a suite of technologies can complement systematic review and meta-analysis studies and answer questions that cannot be typically answered using traditional review protocols and reporting methods. The purpose of this protocol is to introduce a new protocol to complete systematic review and meta-analysis studies. In this work, systematic review, meta-analysis, and meta-analysis network based on selected AI technique, and for < 0.05 are followed, with a view to responding to questions and challenges that the global population is facing in light of the COVID-19 pandemic. Finally, it is expected that conducting reviews by following the proposed protocol can provide suitable answers to some of the research questions raised due to COVID-19.

摘要

人工智能(AI)作为一套技术,可以补充系统评价和荟萃分析研究,并回答一些使用传统评价方案和报告方法通常无法回答的问题。本方案的目的是引入一种新的方案来完成系统评价和荟萃分析研究。在这项工作中,基于选定的人工智能技术进行系统评价、荟萃分析和荟萃分析网络,并遵循P<0.05,以期应对全球人口在新冠疫情中面临的问题和挑战。最后,预计按照所提出的方案进行评价,可以为因新冠疫情而提出的一些研究问题提供合适的答案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8eae/9869651/3edd96f24fa7/bpac038f1.jpg

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