Using artificial intelligence methods for systematic review in health sciences: A systematic review-Reference-Cited by-同舟云学术

Using artificial intelligence methods for systematic review in health sciences: A systematic review

Published:2022-02-28 Issue:3 Volume:13 Page:353-362
ISSN:1759-2879
Container-title:Research Synthesis Methods
language:en
Short-container-title:Research Synthesis Methods

Author:

Blaizot Aymeric¹^ORCID,Veettil Sajesh K.¹,Saidoung Pantakarn²,Moreno‐Garcia Carlos Francisco³,Wiratunga Nirmalie⁴,Aceves‐Martins Magaly⁴^ORCID,Lai Nai Ming⁵⁶,Chaiyakunapruk Nathorn¹⁷^ORCID

Affiliation:

1. Department of Pharmacotherapy, College of Pharmacy University of Utah Utah USA

2. Faculty of Pharmacy Chiang Mai University Chiang Mai Thailand

3. School of Computing Robert Gordon University Aberdeen Scotland, UK

4. The Rowett Institute University of Aberdeen Aberdeen Scotland, UK

5. School of Medicine, Faculty of Health and Medical Sciences Taylors University Selangor Malaysia

6. School of Pharmacy Monash University Malaysia Selangor Malaysia

7. IDEAS Center, Veterans Affairs Salt Lake City Healthcare System Salt Lake City Utah USA

Publisher

Wiley

Subject

Education

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jrsm.1553

Reference26 articles.

1. Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry

2. Empty Reviews: A Description and Consideration of Cochrane Systematic Reviews with No Included Studies

3. Technology-assisted title and abstract screening for systematic reviews: a retrospective evaluation of the Abstrackr machine learning tool

4. Evaluation of text mining to reduce screening workload for injury-focused systematic reviews

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