Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry.

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Title:	Phenotype clustering of hospitalized high-risk patients with COVID-19 - a machine learning approach within the multicentre, multinational PCHF-COVICAV registry.
Authors:	Sokolski M; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland. matsok@gmail.com., Trenson S; Department of Cardiology, Sint-Jan Hospital Bruges, Bruges, Belgium., Reszka K; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland., Urban S; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland., Sokolska JM; Wroclaw Medical University, Faculty of Medicine, Institute of Heart Diseases, Wroclaw, Poland and Intitute of Heart Diseases, University Hospital, Wroclaw, Poland., Biering-Sørensen T; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark., Højbjerg Lassen MC; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark., Skaarup KG; Department of Cardiology, Copenhagen University Hospital - Herlev & Gentofte, Copenhagen, Denmark., Basic C; Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden., Mandalenakis Z; Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden., Ablasser K; Division of Cardiology, Medical University of Graz, Austria., Rainer PP; Division of Cardiology, Medical University of Graz, Austria., Wallner M; Division of Cardiology, Medical University of Graz, Austria.; Cardiovascular Research Center, Lewis Katz School of Medicine, Temple University, Philadelphia, United States.; Center for Biomarker Research in Medicine, CBmed GmbH, Graz, Austria., Rossi VA; Department of Cardiology, University Heart Center, University Hospital, Zurich, Switzerland., Lilliu M; Division of Infectious Diseases, Azienda ULSS 9, M. Magalini Hospital, Villafranca di Verona, Verona, Italy., Loncar G; Institute for Cardiovascular Diseases Dedinje, Faculty of Medicine, University of Belgrade, Belgrade, Serbia., Cakmak HA; Department of Cardiology, Mustafakemalpasa State Hospital, Bursa, Türkiye., Ruschitzka F; Department of Cardiology, University Heart Center, University Hospital, Zurich, Switzerland., Flammer AJ; Department of Cardiology, University Heart Center, University Hospital, Zurich, Switzerland.
Source:	Cardiology journal [Cardiol J] 2024; Vol. 31 (4), pp. 512-521. Date of Electronic Publication: 2024 Jun 04.
Publication Type:	Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Via Medica Country of Publication: Poland NLM ID: 101392712 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1898-018X (Electronic) Linking ISSN: 1898018X NLM ISO Abbreviation: Cardiol J Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1898-018X
DOI:	10.5603/cj.98489