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  4. Machine learning predicts type 2 diabetes incidence using basic clinical and laboratory parameters
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Machine learning predicts type 2 diabetes incidence using basic clinical and laboratory parameters

Journal
Diabetologia
ISSN
1432-0428
Type
conference paper
Date Issued
2025-08-26
Author(s)
Leiherer, A
;
Schnetzer, L
;
Mink, S
;
Mader, A
;
Muendlein, A
;
Bernhard Bermeitinger  
;
Plattner, T
;
Vonbank, A
;
Larcher, B
;
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
Volume
68
Number
S1
Start page
438
End page
438
Pages
1
Event Title
61st EASD Annual Meeting of the European Association for the Study of Diabetes
Event Location
Vienna, Austria
Event Date
15-19 September 2025
Official URL
https://link.springer.com/article/10.1007/s00125-025-06497-1#citeas
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/125065
Subject(s)

health sciences

Division(s)

ICV - Institute for C...

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

restricted

Name

938.pdf

Type

Main Article

Size

404.31 KB

Format

Adobe PDF

Checksum (MD5)

35b629ddcadad7dfb39ec7853a952793

Support
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