Dr Carlos Moreno-Garcia c.moreno-garcia@rgu.ac.uk
Associate Professor
Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research.
Moreno-García, Carlos Francisco; Aceves-Martins, Magaly; Serratosa, Francesc
Authors
Magaly Aceves-Martins
Francesc Serratosa
Abstract
When trying to synthesize information from multiple sources and perform a statistical review to compare them, particularly in the medical research field, several statistical tools are available, most common are the systematic review and the meta-analysis. These techniques allow the comparison of the effectiveness or success among a group of studies. However, a problem of these tools is that if the information to be compared is incomplete or mismatched between two or more studies, the comparison becomes an arduous task. On a parallel line, machine learning methodologies have been proven to be a reliable resource, such software is developed to classify several variables and learn from previous experiences to improve the classification. In this paper, we use unsupervised machine learning methodologies to describe a simple yet effective algorithm that, given a dataset with missing data, completes such data, which leads to a more complete systematic review and meta-analysis, capable of presenting a final effectiveness or success rating between studies. Our method is first validated in a movie ranking database scenario, and then used in a real life systematic review and meta-analysis of obesity prevention scientific papers, where 66.6% of the outcomes are missing.
Citation
MORENO-GARCÍA, C.F., ACEVES-MARTINS, M. and SERRATOSA, F. 2016. Unsupervised machine learning application to perform a systematic review and meta-analysis in medical research. Computación y sistemas [online], 20(1), pages 7-17. Available from: https://doi.org/10.13053/CyS-20-1-2360
Journal Article Type | Review |
---|---|
Acceptance Date | Jan 1, 2016 |
Online Publication Date | Mar 31, 2016 |
Publication Date | Mar 31, 2016 |
Deposit Date | Oct 17, 2020 |
Publicly Available Date | Oct 27, 2020 |
Journal | Computación y Sistemas |
Print ISSN | 1405-5546 |
Electronic ISSN | 2007-9737 |
Publisher | Instituto Politécnico Nacional. Centro de Investigación en Computación |
Peer Reviewed | Peer Reviewed |
Volume | 20 |
Issue | 1 |
Pages | 7-17 |
DOI | https://doi.org/10.13053/CyS-20-1-2360 |
Keywords | Systematic review; Meta-analysis; Unsupervised machine learning; Recommender systems; Principal component analysis |
Public URL | https://rgu-repository.worktribe.com/output/977249 |
Files
MORENO-GARCIA 2016 Unsupervised machine
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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