Literature DB >> 25742765

Risk prediction tools in patients with heart failure.

Josep Lupón, Joan Vila, Antoni Bayes-Genis.   

Abstract

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Year:  2015        PMID： 25742765     DOI： 10.1016/j.jchf.2014.10.010

Source DB:  PubMed          Journal:  JACC Heart Fail        ISSN： 2213-1779            Impact factor:   12.035


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  2 in total

1.  Analysis of Machine Learning Techniques for Heart Failure Readmissions.

Authors:  Bobak J Mortazavi; Nicholas S Downing; Emily M Bucholz; Kumar Dharmarajan; Ajay Manhapra; Shu-Xia Li; Sahand N Negahban; Harlan M Krumholz
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2016-11-08

2.  A Triangulated Qualitative Study of Veteran Decision-Making to Seek Care During Heart Failure Exacerbation: Implications of Dual Health System Use.

Authors:  Charlene A Pope; Boyd H Davis; Leticia Wine; Lynne S Nemeth; Robert N Axon
Journal:  Inquiry       Date:  2018 Jan-Dec       Impact factor: 1.730
  2 in total

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