Login
- 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:
- 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
BibTeX