Prediction of the Development of Gestational Diabetes Mellitus in Pregnant Women Using Machine Learning Methods

The paper is devoted to the application of machine learning methods to the prediction of the development of gestational diabetes mellitus in early pregnancy. Based on two publicly available databases, study assesses influence of such features as body mass index, thickness of triceps skin folds, ultr...

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Bibliographic Details
Main Authors: Марко Романович Басараб, Екатерина Олеговна Іванько, Вішвеш Кулкарні
Format: Article
Language:English
Published: Igor Sikorsky Kyiv Polytechnic Institute 2021-08-01
Series:Mìkrosistemi, Elektronìka ta Akustika
Subjects:
Online Access:http://elc.kpi.ua/article/view/228845