A New Prediction of Cesarean Delivery Using Artificial Intelligence-Reference-Cited by-同舟云学术

A New Prediction of Cesarean Delivery Using Artificial Intelligence

Published:2023-09-25 Issue: Volume: Page:127-139
ISSN:2327-0411
Container-title:Predicting Pregnancy Complications Through Artificial Intelligence and Machine Learning
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Author:

Maniiarasan P.¹,Ramkumar P.²,Uma R.²^ORCID,Abinaya K.³,Deepika M.⁴

Affiliation:

1. Nehru Insitute of Engineering and Technology, India

2. Sri Sairam College of Engineering, India

3. Government Stanley Medical College and Hospital, India

4. Government Hospital, Chennai, India

Abstract

Artificial intelligence (AI) techniques are used to extract crucial information. Data from cases of caesarean birth were analysed in this study. A caesarean section is typically performed when a normal delivery would be difficult for a variety of reasons or if a normal delivery could lead to future difficulties. With the use of actual instances obtained from a Tabriz health centre, this chapter investigated a number of AI approaches in this research to determine which delivery method is the safest for both mother and kid. In order to ensure more accurate and trustworthy outcomes, it also employed a cross-validation (CV) method to assess the deployed prediction models. With an accuracy rate of 65%, the Bayesian (NB) classifier fared better than the other chosen classifiers. In order to improve prediction, more data on caesarean deliveries are needed.

Publisher

IGI Global

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