Machine learning based on biomarker profiles identifies distinct subgroups of heart failure with preserved ejection fraction

Author:

Woolley Rebecca J.1,Ceelen Daan1,Ouwerkerk Wouter23,Tromp Jasper124,Figarska Sylwia M.1,Anker Stefan D.56,Dickstein Kenneth78,Filippatos Gerasimos910,Zannad Faiez11,Metra Marco12,Ng Leong13,Samani Nilesh13,Veldhuisen Dirk J1,Lang Chim14,Lam Carolyn S.124,Voors Adriaan A.1

Affiliation:

1. Department of Cardiology University Medical Centre Groningen, University of Groningen Groningen The Netherlands

2. National Heart Centre Singapore Singapore

3. Department of Dermatology and Netherlands Institute for Pigment Disorders, Amsterdam, University Medical Centers University of Amsterdam, Amsterdam Infection & Immunity Institute, Cancer Center Amsterdam Amsterdam The Netherlands

4. Duke‐NUS Medical School Singapore

5. Department of Cardiology (CVK) and Berlin Institute of Health Center for Regenerative Therapies (BCRT) Berlin Germany

6. German Centre for Cardiovascular Research (DZHK) partner site Berlin Charité Universitätsmedizin Berlin Berlin Germany

7. University of Bergen Bergen Norway

8. Stavanger University Hospital Stavanger Norway

9. National and Kapodistrian University of Athens, School of Medicine Athens Greece

10. University of Cyprus, School of Medicine Nicosia Cyprus

11. Universite de Lorraine, Inserm, Centre d'Investigations Cliniques‐1433 and F‐CRIN INI CRCT Nancy France

12. Institute of Cardiology, ASST Spedali Civili di Brescia, and Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health University of Brescia Brescia Italy

13. Department of Cardiovascular Sciences University of Leicester, Glenfield Hospital, and NIHR Leicester Biomedical Research Centre Leicester UK

14. School of Medicine Centre for Cardiovascular and Lung Biology, Division of Medical Sciences University of Dundee, Ninewells Hospital & Medical School Dundee UK

Funder

Hartstichting

Publisher

Wiley

Subject

Cardiology and Cardiovascular Medicine

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