Literature DB >> 27522632

Can Big Data Simplify the Complexity of Modern Medicine?: Prediction of Right Ventricular Failure After Left Ventricular Assist Device Support as a Test Case.

Tariq Ahmad1, Jeffrey M Testani2, Nihar R Desai2.   

Abstract

Entities:  

Keywords:  big data; machine learning; risk prediction

Mesh：

Year:  2016        PMID： 27522632     DOI： 10.1016/j.jchf.2016.06.004

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


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  3 in total

1.  Paradigm shift in anticoagulation therapy, fueling the pump and preventing rhythm crisis.

Authors:  Bright E Ohene; Fei Gao; Yu Jie Zhou
Journal:  J Thorac Dis       Date:  2017-05       Impact factor: 2.895

2.  The Trifecta of Precision Care in Heart Failure: Biology, Biomarkers, and Big Data.

Authors:  Tariq Ahmad; F Perry Wilson; Nihar R Desai
Journal:  J Am Coll Cardiol       Date:  2018-09-04       Impact factor: 24.094

3.  Machine Learning Methods Improve Prognostication, Identify Clinically Distinct Phenotypes, and Detect Heterogeneity in Response to Therapy in a Large Cohort of Heart Failure Patients.

Authors:  Tariq Ahmad; Lars H Lund; Pooja Rao; Rohit Ghosh; Prashant Warier; Benjamin Vaccaro; Ulf Dahlström; Christopher M O'Connor; G Michael Felker; Nihar R Desai
Journal:  J Am Heart Assoc       Date:  2018-04-12       Impact factor: 5.501
  3 in total

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