Identification of Predictive Factors of Diabetic Ketoacidosis in Type 1 Diabetes Using a Subgroup Discovery Algorithm.

Angela Ibald-Mulli Jochen Seufert Julia M HermannMarkus LaimerPeter BramlageAlexandre CivetMargot BlanchonSimon GossetAlexandre TemplierW Dieter PaarFang Liz Zhou Stefanie Lanzinger

Published in: Diabetes, obesity & metabolism (2023)

Q-Finder® confirmed common risk profiles identified by conventional statistical methods and allowed the generation of new profiles that may help predict patients with type 1 diabetes who are at a greater risk of experiencing DKA. This article is protected by copyright. All rights reserved.

Keyphrases

type diabetes
small molecule
machine learning
glycemic control
deep learning
cardiovascular disease
adipose tissue
bioinformatics analysis
metabolic syndrome
phase iii
neural network
weight loss
open label