Predictive Abilities of Machine Learning Techniques May Be Limited by Dataset Characteristics: Insights From the UNOS Database-Reference-Cited by-同舟云学术

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Predictive Abilities of Machine Learning Techniques May Be Limited by Dataset Characteristics: Insights From the UNOS Database

Published:2019-06 Issue:6 Volume:25 Page:479-483
ISSN:1071-9164
Container-title:Journal of Cardiac Failure
language:en
Short-container-title:Journal of Cardiac Failure

Author:

Miller P. Elliott,Pawar Sumeet,Vaccaro Benjamin,McCullough Megan,Rao Pooja,Ghosh Rohit,Warier Prashant,Desai Nihar R.,Ahmad Tariq

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference17 articles.

1. Big data and new knowledge in medicine: the thinking, training, and tools needed for a learning health system;Krumholz;Health Aff (Millwood),2014

2. Analysis of machine learning techniques for heart failure readmissions;Mortazavi;Circ Cardiovasc Qual Outcomes,2016

3. Beyond genes and molecules—a precision delivery initiative for precision medicine;Parikh;N Engl J Med,2017

4. Big data, predictive analytics, and quality improvement in kidney transplantation: a proof of concept;Srinivas;Am J Transplant,2017

5. What happens when underperforming big ideas in research become entrenched?;Joyner;JAMA,2016

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