Approaching Higher Dimension Imaging Data Using Cluster-Based Hierarchical Modeling in Patients with Heart Failure Preserved Ejection Fraction

Approaching Higher Dimension Imaging Data Using Cluster-Based Hierarchical Modeling in Patients with Heart Failure Preserved Ejection Fraction

Abstract Heart failure with preserved ejection fraction (HFpEF) is a major cause of morbidity and mortality, accounting for the majority of heart failure (HF) hospitalization. To identify the most complementary predictors of mortality among clinical, laboratory and echocardiographic data, we used cl...

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Bibliographic Details
Main Authors: Yukari Kobayashi, Maxime Tremblay-Gravel, Kalyani A. Boralkar, Xiao Li, Tomoko Nishi, Myriam Amsallem, Kegan J. Moneghetti, Sara Bouajila, Mona Selej, Mehmet O. Ozen, Utkan Demirci, Euan Ashley, Matthew Wheeler, Kirk U. Knowlton, Tatiana Kouznetsova, Francois Haddad
Format: article
Language:EN
Published: Nature Portfolio 2019
Subjects:
Medicine
R
Science
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Online Access:https://doaj.org/article/a9d389f8224f4265bf15a8de34a19c1f
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https://doaj.org/article/a9d389f8224f4265bf15a8de34a19c1f

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