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Editorial
. 2021 Dec;117(6):1071-1072.
doi: 10.36660/abc.20210823.

Artificial Algorithms Outperform Traditional Models in Predicting Coronary Artery Disease

[Article in English, Portuguese]
Lutfu Askin  1 , Okan Tanrıverdi  1 , Mustafa Cetin  2
Affiliations
Editorial

Artificial Algorithms Outperform Traditional Models in Predicting Coronary Artery Disease

[Article in English, Portuguese]
Lutfu Askin et al. Arq Bras Cardiol. 2021 Dec.
No abstract available

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References

    1. Cesar LA, Ferreira JF, Armaganijan D, Gowdak LH, Mansur AP, Bodanese LC, et al. Sociedade Brasileira de Cardiologia. Guideline for stable coronary artery disease. Arq Bras Cardiol. 2014;103(2 Suppl 2):1–56. - PubMed
    2. Cesar LA, Ferreira JF, Armaganijan D, Gowdak LH, Mansur AP, Bodanese LC, et al. Sociedade Brasileira de Cardiologia. Guideline for stable coronary artery disease. Arq Bras Cardiol. 2014;103(2 Suppl 2):1-56. - PubMed
    1. Correia L, Lopes D, Porto JV, Lacerda YF, Correia VCA, Bagano GO, et al. Validation of an Artificial Intelligence Algorithm for Diagnostic Prediction of Coronary Disease: Comparison with a Traditional Statistical Model. Arq Bras Cardiol. 2021;117(6):1061–1070. - PMC - PubMed
    2. Correia L, Lopes D, Porto JV, Lacerda YF, Correia VCA, Bagano GO, et al. Validation of an Artificial Intelligence Algorithm for Diagnostic Prediction of Coronary Disease: Comparison with a Traditional Statistical Model. Arq Bras Cardiol. 2021; 117(6):1061-1070. - PMC - PubMed
    1. Correia LCL, Cerqueira M, Carvalhal M, Kalil F, Ferreira K, Silva ABD, et al. A Multivariate Model for Prediction of Obstructive Coronary Disease in Patients with Acute Chest Pain: Development and Validation. Arq Bras Cardiol. 2017;108(4):304–314. - PMC - PubMed
    2. Correia LCL, Cerqueira M, Carvalhal M, Kalil F, Ferreira K, Silva ABD, et al. A Multivariate Model for Prediction of Obstructive Coronary Disease in Patients with Acute Chest Pain: Development and Validation. Arq Bras Cardiol.2017;108(4):304-14. - PMC - PubMed
    1. Beunza JJ, Puertas E, García-Ovejero E, Villalba G, Condes E, Koleva G, et al. Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease) J Biomed Inform. 2019 Sep;97:103257–103257. - PubMed
    2. Beunza JJ, Puertas E, García-Ovejero E, Villalba G, Condes E, Koleva G, et al. Comparison of machine learning algorithms for clinical event prediction (risk of coronary heart disease). J Biomed Inform .2019 Sep;97:103257. - PubMed
    1. Rabbat MG, Ramchandani S, Sanders WE., Jr Cardiac Phase Space Analysis: Assessing Coronary Artery Disease Utilizing Artificial Intelligence. Biomed Res Int. 2021 Apr 09;2021:6637039–6637039. doi: 10.1155/2021/6637039. - DOI - PMC - PubMed
    2. Rabbat MG, Ramchandani S, Sanders WE Jr. Cardiac Phase Space Analysis: Assessing Coronary Artery Disease Utilizing Artificial Intelligence. Biomed Res Int. 2021 Apr 09;2021:6637039. doi:10.1155/2021/6637039 - PMC - PubMed

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