%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 }