A Machine Learning Aided Systematic Review and Meta-Analysis of the Relative Risk of Atrial Fibrillation in Patients With Diabetes Mellitus

Frontiers in Physiology
Zhaohan XiongJichao Zhao

Abstract

Background: Meta-analysis is a widely used tool in which weighted information from multiple similar studies is aggregated to increase statistical power. However, the exponential growth of publications in key areas of medical science has rendered manual identification of relevant studies increasingly time-consuming. The aim of this work was to develop a machine learning technique capable of robust automatic study selection for meta-analysis. We have validated this approach with an up-to-date meta-analysis to investigate the association between diabetes mellitus (DM) and new-onset atrial fibrillation (AF). Methods: The PubMed online database was searched from 1960 to September 2017 where 4,177 publications that mentioned both DM and AF were identified. Relevant studies were selected as follows. First, publications were clustered based on common text features using an unsupervised K-means algorithm. Clusters that best matched the selected set of potentially relevant studies (a "training" set of 139 articles) were then identified by using maximum entropy classification. The 139 articles selected automatically on this basis were screened manually to identify potentially relevant studies. To determine the validity of the automated pr...Continue Reading

References

Jul 22, 2009·PLoS Medicine·David MoherUNKNOWN PRISMA Group
Apr 21, 2010·Journal of General Internal Medicine·Sascha DublinSusan R Heckbert
Apr 22, 2011·BMC Bioinformatics·Su Nam KimLars Yencken
May 3, 2011·The American Journal of Cardiology·Rachel R HuxleyAlvaro Alonso
Oct 15, 2011·The American Journal of Cardiology·João D FontesEmelia J Benjamin
Apr 21, 2012·BMC Medical Informatics and Decision Making·Aaron M CohenMarian McDonagh
Sep 18, 2012·Journal of the American College of Cardiology·Tobias SchoenDavid Conen
Jul 9, 2013·The American Journal of Cardiology·Susan ColillaXianchen Liu
Dec 3, 2014·Journal of the American College of Cardiology·Rajeev K PathakPrashanthan Sanders
Jan 13, 2015·International Journal of Cardiology·Guo-Zhe SunYing-Xian Sun
Mar 1, 2011·Research Synthesis Methods·James ThomasSophia Ananiadou
Aug 9, 2015·European Journal of Preventive Cardiology·Jannik L PallisgaardGunnar H Gislason
Mar 5, 2016·Annals of Medicine·Lia Alves-CabratosaRafel Ramos
Aug 9, 2017·Circulation·Dennis H LauPrashanthan Sanders

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Citations

Jan 30, 2020·Circulation·Salim S ViraniUNKNOWN American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee
Mar 22, 2020·Proceedings of the National Academy of Sciences of the United States of America·Iuliia PolinaRobert A Rose
Jun 10, 2020·American Journal of Cardiovascular Drugs : Drugs, Devices, and Other Interventions·Yang HuaXiang-Qing Kong
Mar 3, 2020·Frontiers in Cardiovascular Medicine·Maryam Kavousi
Jan 28, 2021·Circulation·Salim S ViraniUNKNOWN American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee
Mar 30, 2021·Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association·Mi-Yeon EunJin-Man Jung

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