View in EDS HTML Full Text PDF Full Text

A streamlined, machine learning-derived approach to risk-stratification in heart failure patients with secondary tricuspid regurgitation.

Saved in:
Bibliographic Details
Title: A streamlined, machine learning-derived approach to risk-stratification in heart failure patients with secondary tricuspid regurgitation.
Authors: Heitzinger G; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Spinka G; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Koschatko S; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Baumgartner C; Department of Internal Medicine III, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Dannenberg V; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Halavina K; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Mascherbauer K; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Nitsche C; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Dona C; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Koschutnik M; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Kammerlander A; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Winter MP; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Strunk G; Complexity-Research, Schönbrunner Str. 32 / 20A, 1050 Vienna, Austria., Pavo N; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Kastl S; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Hülsmann M; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Rosenhek R; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Hengstenberg C; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Bartko PE; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria., Goliasch G; Department of Internal Medicine II, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria.; Herzzentrum Währing, Theresiengasse 43, 1180 Vienna, Austria.
Source: European heart journal. Cardiovascular Imaging [Eur Heart J Cardiovasc Imaging] 2023 Apr 24; Vol. 24 (5), pp. 588-597.
Publication Type: Observational Study; Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 101573788 Publication Model: Print Cited Medium: Internet ISSN: 2047-2412 (Electronic) Linking ISSN: 20472404 NLM ISO Abbreviation: Eur Heart J Cardiovasc Imaging Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2047-2412
DOI:10.1093/ehjci/jead009