Phenotyping heart failure using model‐based analysis and physiology‐informed machine learning-Reference-Cited by-同舟云学术

Phenotyping heart failure using model‐based analysis and physiology‐informed machine learning

Published:2021-10-18 Issue:22 Volume:599 Page:4991-5013
ISSN:0022-3751
Container-title:The Journal of Physiology
language:en
Short-container-title:J Physiol

Author:

Jones Edith¹^ORCID,Randall E. Benjamin¹^ORCID,Hummel Scott L.²³^ORCID,Cameron David M.⁴,Beard Daniel A.¹^ORCID,Carlson Brian E.¹^ORCID

Affiliation:

1. Department of Molecular and Integrative Physiology University of Michigan Ann Arbor MI USA

2. Division of Cardiovascular Medicine University of Michigan Ann Arbor MI USA

3. Ann Arbor Veterans Affairs Health System Ann Arbor MI USA

4. Fredrick Meijer Heart and Vascular Institute Grand Rapids MI USA

Publisher

Wiley

Subject

Physiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1113/JP281845

Reference42 articles.

1. BenekenJEW&DeWitB(1967).A physical approach to hemodynamic aspects of the human cardiovascular system. InPhysical Bases of Circulatory Transport: Regulation and Exchange pp.1–45. Saunders Philadelphia.

2. Response to Letter Regarding Article, “Effects of Sildenafil on Ventricular and Vascular Function in Heart Failure With Preserved Ejection Fraction”

3. CarlsonBC&JonesE(2021) HFpEF Phenotyping Simulation Code (Version 1.1) [Computer software].https://doi.org/10.5281/zenodo.5215892.

4. Clinical Phenogroups in Heart Failure With Preserved Ejection Fraction

5. Clinical Phenogroups in Heart Failure With Preserved Ejection Fraction

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