Enhanced Optimal Feature Selection Techniques for Fetal Risk Prediction using Machine Learning Algorithms

Assistant Professor Senior At Vit University, Vellore, Tamilnadu, India ,J Jayashree,Anil Kumar C,J Vijayashree,Harsha T,Department Of Computer Science Engineering Vit Vellore

doi:10.35940/ijeat.c6502.029320

Assistant Professor Senior At Vit University, Vellore, Tamilnadu, India , J Jayashree + Show 4 more

Open Access

https://doi.org/10.35940/ijeat.c6502.029320

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Abstract

Cardiotocography (CTG) records fetal heart rate (FHR) and uterine contractions (UC) simultaneously. The CTG,*which is one of the*most common*diagnostic techniques used during pregnancy and before delivery to evaluate maternal and fetal well-being. Doctors can understand the state of the fetus by observing the*Cardiotocography trace patterns. There are several techniques for interpreting a typical cardiotocography data based on signal processing and computer programming. Only a few decades after cardiotocography has been implemented into clinical*practice, the predictive potential of these approaches remains controversial and still unreliable This paper presents MRMR feature selection algorithms with four classification for Fetal risk prediction using python.

Highlights

The innovative engineering methods have played an important role in the area of medicine, to help doctors achieve the desired outcomes effectively
Baseline: The mean value of the Fetal Heart Rate data is defined as the baseline ranging from 100 to 160 bpm for a 10 min period without acceleration or decelerations
This paper simultaneously studies the enhancement of Cardiotocogram data classification accuracy in the selection of features and classifiers based on ensemble learning

Summary

INTRODUCTION

The innovative engineering methods have played an important role in the area of medicine, to help doctors achieve the desired outcomes effectively. Fetal cardiac monitoring measures your baby's heart rate (fetus). This allows your health care provider to see how the child is healthy. Your health care provider will perform a fetal heart rate test in the later stages of pregnancy. Nonstress test : When the baby moves, this monitors the fetal heart rate. Note: If you are HIV-positive you shouldn't have internal fetal heart rate monitoring This is because you might pass the infection on to your kids. Certain things may or mayn’t make the results of fetal heart rate monitoring less accurate. These include: Maternal obesity Baby position Too much fluid with amniotics (polyhydramnios)

Internal fetal heart monitoring

LITERATURE REVIEW

20 Daniel ANN

20 Features

Findings

CONCLUSIONS