339: Future Type-2 diabetes prediction following pregnancy - using a novel machine learning algorithm

Volume: 222, Issue: 1, Pages: S228 - S228
Published: Jan 1, 2020
Abstract
We aimed to predict diabetes mellitus type 2 following pregnancy in women with and without gestational diabetes (GDM) using machine learning abilities. Machine learning was used to predict diabetes mellitus type 2 in patients after pregnancy, among women who delivered in our medical center (2007-2014). All women were followed for a median period of 64 months (± 32). Data was retrieved from the medical records of women, with the following...
Paper Details
Title
339: Future Type-2 diabetes prediction following pregnancy - using a novel machine learning algorithm
Published Date
Jan 1, 2020
Volume
222
Issue
1
Pages
S228 - S228
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