Phenomapping of patients with heart failure with preserved ejection fraction using machine learning‐based unsupervised cluster analysis
Author:
Affiliation:
1. Division of Cardiology, Department of Internal MedicineUniversity of Texas Southwestern Medical Center Dallas TX USA
2. Department of Cardiovascular MedicineCleveland Clinic Cleveland OH USA
Publisher
Wiley
Subject
Cardiology and Cardiovascular Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ejhf.1621
Reference32 articles.
1. Lifetime Risk for Developing Congestive Heart Failure
2. Developing Therapies for Heart Failure With Preserved Ejection Fraction
3. Phenotype-Specific Treatment of Heart Failure With Preserved Ejection Fraction
4. The Elements of Statistical Learning
5. Clinical Implications of Chronic Heart Failure Phenotypes Defined by Cluster Analysis
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