EconPapers    
Economics at your fingertips  
 

Naive Bayesian Model for Predicting Mode of Delivery

K. Lakshmi, P. Raja Priya and T. Nivedhitha

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2017, vol. 2, issue 4, 562-565

Abstract: Giving birth to a child gives anxiety to any family due to many uncertainties even at the technology era. The research work analyzes the data of pregnant women and brings out a model for predicting the mode of delivery of baby. This paper presents the analytical data & effectiveness of the Bayesian model. We have considered the features such as age, BMI (Body Mass Index), GDM (Gestational Diabetes Mellitus) etc., The purpose of this study was to determine the relative effects of pregnancy and mode of delivery.

Keywords: Data classification; mode of delivery; Prediction; Pregnancy; Bayesian model. (search for similar items in EconPapers)
Date: 2017
Note: Article URL: https://ijsrcseit.com/CSEIT1724136
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ijsrcseit.com/CSEIT1724136 Article URL (text/html)
https://ijsrcseit.com/paper/CSEIT1724136.pdf Full text (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jbh:ijsrcs:v2:y2017:i4:id:hcseit1724136

Access Statistics for this article

More articles in International Journal of Scientific Research in Computer Science, Engineering and Information Technology from International Journal of Scientific Research in Computer Science, Engineering and Information Technology
Bibliographic data for series maintained by Pankaj Sharma ().

 
Page updated 2026-09-29
Handle: RePEc:jbh:ijsrcs:v2:y2017:i4:id:hcseit1724136