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Document type:
Zeitschriftenaufsatz 
Author(s):
Huang, Jialing; Huth, Cornelia; Covic, Marcela; Troll, Martina; Adam, Jonathan; Zukunft, Sven; Prehn, Cornelia; Wang, Li; Nano, Jana; Scheerer, Markus F.; Neschen, Susanne; Kastenmüller, Gabi; Suhre, Karsten; Laxy, Michael; Schliess, Freimut; Gieger, Christian; Adamski, Jerzy; Hrabe de Angelis, Martin; Peters, Annette; Wang-Sattler, Rui 
Title:
Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes 
Journal title:
Diabetes 
Year:
2020 
Journal volume:
69 
Journal issue:
12 
Pages contribution:
2756-2765 
Reviewed:
ja 
Language:
en 
Fulltext / DOI:
Publisher:
American Diabetes Association 
E-ISSN:
0012-17971939-327X 
Impact Factor:
7,72 
Scimago Quartil:
Q1 
Date of publication:
06.10.2020 
Semester:
WS 20-21 
TUM Institution:
Professur Public Health und Prävantion