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  4. Machine learning identifies glypican 4 as key predictor of 5-year mortality in heart failure patients with prediabetes or diabetes
Details

Machine learning identifies glypican 4 as key predictor of 5-year mortality in heart failure patients with prediabetes or diabetes

Journal
Diabetologia
ISSN
1432-0428
Type
conference paper
Date Issued
2025-08-26
Author(s)
Leiherer, A
;
Muendlein, A
;
Schnetzer, L
;
Mink, S
;
Heinzle, C
;
Brandtner, E
;
Geiger, K
;
Gaenger, S
;
Bernhard Bermeitinger  
;
Plattner, T
;
Vonbank, A
;
Mader, A
;
Saely, C
;
Fraunberger, P
;
Drexel, H
DOI
10.1007/s00125-025-06497-1
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Springer Science and Business Media LLC
Publisher place
New York, USA
Volume
68
Number
S1
Start page
483
End page
483
Pages
1
Event Title
61st EASD Annual Meeting of the European Association for the Study of Diabetes
Event Location
Vienna, Austra
Event Date
15-19 September 2025
Official URL
https://link.springer.com/article/10.1007/s00125-025-06497-1
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/125066
Subject(s)

health sciences

computer science

Division(s)

ICV - Institute for C...

Contact Email Address
bernhard.bermeitinger@unisg.ch
File(s)
Thumbnail Image

restricted

Name

939.pdf

Type

Main Article

Size

493.08 KB

Format

Adobe PDF

Checksum (MD5)

5040a7be9c28262ba317b507de8cc2d4

Support
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