%0 Conference Paper
%1 albert2022identification
%A Albert, J Judith
%A Leppich, R
%A Borst, V
%A Sahiti, F
%A Scholz, N
%A Cejka, V
%A Morbach, C
%A Ertl, G
%A Angermann, C
%A Frantz, S
%A others,
%B EUROPEAN JOURNAL OF HEART FAILURE
%D 2022
%K descartes t_extendedabstract t_interdisciplinary
%P 179--179
%T Identification of clinically distinct and prognostically important phenogroups in patients with acute heart failure by a machine learning approach
%V 24
@inproceedings{albert2022identification,
added-at = {2022-12-20T10:23:12.000+0100},
author = {Albert, J Judith and Leppich, R and Borst, V and Sahiti, F and Scholz, N and Cejka, V and Morbach, C and Ertl, G and Angermann, C and Frantz, S and others},
biburl = {https://www.bibsonomy.org/bibtex/2ad1559dd1c14b99e4465f5cedc717cc6/se-group},
booktitle = {EUROPEAN JOURNAL OF HEART FAILURE},
interhash = {77760ddd66342ca84c61311e549535b0},
intrahash = {ad1559dd1c14b99e4465f5cedc717cc6},
keywords = {descartes t_extendedabstract t_interdisciplinary},
organization = {WILEY 111 RIVER ST, HOBOKEN 07030-5774, NJ USA},
pages = {179--179},
timestamp = {2022-12-20T10:23:12.000+0100},
title = {Identification of clinically distinct and prognostically important phenogroups in patients with acute heart failure by a machine learning approach},
volume = 24,
year = 2022
}
