Literature DB >> 31349775

Comparison of MAGGIC and MECKI risk scores to predict mortality after cardiac rehabilitation among Dutch heart failure patients.

Ilse Jm Kouwert1, Esmée A Bakker1,2, Maarten J Cramer3, Johan A Snoek4, Thijs Mh Eijsvogels1.   

Abstract

Entities:  

Year:  2019        PMID： 31349775     DOI： 10.1177/2047487319865730

Source DB:  PubMed          Journal:  Eur J Prev Cardiol        ISSN： 2047-4873            Impact factor:   7.804


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  4 in total

1.  Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone.

Authors:  Davide Chicco; Giuseppe Jurman
Journal:  BMC Med Inform Decis Mak       Date:  2020-02-03       Impact factor: 2.796

2.  Future developments in the MECKI score initiative.

Authors:  Andrew Js Coats
Journal:  Eur J Prev Cardiol       Date:  2020-12       Impact factor: 7.804

3.  The MECKI score initiative: a successful and ongoing story.

Authors:  Massimo F Piepoli; Ugo Corrà; Piergiuseppe Agostoni
Journal:  Eur J Prev Cardiol       Date:  2020-12       Impact factor: 7.804

Review 4.  Comparison among different multiparametric scores for risk stratification in heart failure patients with reduced ejection fraction.

Authors:  Ugo Corrà; Alessandra Magini; Stefania Paolillo; Maria Frigerio
Journal:  Eur J Prev Cardiol       Date:  2020-12       Impact factor: 7.804
  4 in total

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