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Title:

Machine Learning Approaches Reveal Metabolic Signatures of Incident Chronic Kidney Disease in Individuals With Prediabetes and Type 2 Diabetes

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
Journal title:
Diabetes
Year:
2020
Journal volume:
69
Journal issue:
12
Pages contribution:
2756-2765
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.2337/db20-0586
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
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