Meeting abstract
https://doi.org/10.26800/LV-142-supp5-61
The role of machine learning in identification of early gestational diabetes mellitus prediction models
M Sekulić
; School of medicine, University of Zagreb, Zagreb, Croatia
D Relić
; School of Public Health “Andrija Štampar”, Zagreb, Croatia
Abstract
Introduction:
Gestational diabetes mellitus(GDM) is a condition in which carbohydrate intolerance develops during pregnancy. The estimated prevalence of GDM ranges from less than 1% to 28% and is commonly diagnosed between 24 and 28 weeks of gestation. Untreated GDM represents a severe threat to the affected women and their offspring. Machine learning (ML) is a computer science discipline focused on algorithms that improve automatically through experience to make predictions or decisions without being explicitly programmed to do so.
Keywords
gestational diabetes mellitus, machine learning, prediction model
Hrčak ID:
257342
URI
Publication date:
27.1.2021.
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