Classification of congestive heart failure with different New York Heart Association functional classes based on heart rate variability indices and machine learning-Reference-Cited by-同舟云学术

Classification of congestive heart failure with different New York Heart Association functional classes based on heart rate variability indices and machine learning

Published:2019-03-11 Issue:3 Volume:36 Page:e12396
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Qu Zhaohui¹,Liu Qianwen¹,Liu Chengyu¹^ORCID

Affiliation:

1. School of Instrument Science and EngineeringSoutheast University Nanjing China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12396

Reference51 articles.

1. Heart Rate Variability

2. Empirical characterization of random forest variable importance measures

3. Measures of heart period variability as predictors of mortality in hospitalized patients with decompensated congestive heart failure

4. Validity and reliability of the NYHA classes for measuring research outcomes in patients with cardiac disease

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