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2024 | OriginalPaper | Chapter

Risk Prediction of Maternal Health by Model Analysis Using Artificial Intelligence

Authors : Anandakumar Haldorai, Babitha Lincy R, Suriya Murugan, Minu Balakrishnan

Published in: Artificial Intelligence for Sustainable Development

Publisher: Springer Nature Switzerland

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Abstract

Medical practice is being gradually transformed by artificial intelligence (AI). Diabetes mellitus (DM) is a disease characterized by inadequate control of blood glucose levels, and has the potential to create a healthcare crisis worldwide. Pregnant women who have gestational diabetes mellitus (GDM) may put their unborn children at risk. This form of diabetes can result in larger-than-normal offspring, making vaginal birth more difficult. This chapter presents a case study that uses an analysis of different machine learning methods to suggest a machine learning model for the early detection of gestational diabetes mellitus and the probability that it would proceed to type 2 diabetes.

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Title: Risk Prediction of Maternal Health by Model Analysis Using Artificial Intelligence
Authors: Anandakumar Haldorai
Babitha Lincy R
Suriya Murugan
Minu Balakrishnan
Publisher: Springer Nature Switzerland
Book: Artificial Intelligence for Sustainable Development
Print ISBN: 978-3-031-53971-8

Electronic ISBN: 978-3-031-53972-5

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-53972-5_6

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