Estimating the Mode of Delivery Through Cause Analysis

Author:

Rabbi Md Forhad1,Ripa Umme Salma1

Affiliation:

1. Shahjalal University of Science and Technology, Bangladesh

Abstract

In developing countries, many health workers force pregnant women in private hospitals having baby through cesarean delivery, even though most pregnant mothers are skeptical about the risk of going under such operations. Doctors often encourage pregnant mothers to have a cesarean on the basis of their physical condition and medical reports. Emergency cesarean patient cannot be prepared in advance but on real time, If a system can be developed that can forecast whether a woman need natural or cesarean delivery, then rate of the risk of the pregnant women get reduce. To design such system, we need to know what factors influences the doctors to choose cesarean over normal delivery. We have conducted a systematic review in well-known databases to understand the various factors of pregnant mothers. A total of 19 studies were selected among 2512 studies based on the relevancy to the research objective. The objective of this study is to predict the mode of delivery based on 10 specific parameters identified separately from 180 parameters present in various test reports.

Publisher

IGI Global

Subject

General Computer Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Comprehensive Analysis on Various Machine Learning Algorithms for Child Birth Mode Prediction;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19

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