Literature DB >> 31911505

Machine learning: a long way from implementation in cardiovascular disease.

Suliang Chen1, Amitava Banerjee2.   

Abstract

Entities:  

Keywords:  electronic medical records; epidemiology; heart failure with preserved ejection fraction

Year:  2020        PMID： 31911505     DOI： 10.1136/heartjnl-2019-316030

Source DB:  PubMed          Journal:  Heart        ISSN： 1355-6037            Impact factor:   5.994


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  2 in total

1.  Technology-Enabled, Evidence-Driven, and Patient-Centered: The Way Forward for Regulating Software as a Medical Device.

Authors:  Jane Elizabeth Carolan; John McGonigle; Andrea Dennis; Paula Lorgelly; Amitava Banerjee
Journal:  JMIR Med Inform       Date:  2022-01-27

2.  Comparison of Unsupervised Machine Learning Approaches for Cluster Analysis to Define Subgroups of Heart Failure with Preserved Ejection Fraction with Different Outcomes.

Authors:  Hirmand Nouraei; Hooman Nouraei; Simon W Rabkin
Journal:  Bioengineering (Basel)       Date:  2022-04-16
  2 in total

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