A cardiotocographic classification using feature selection: a comparative study

SE Prasetyo, PH Prastyo, S Arti - JITCE (Journal of Information …, 2021 - jitce.fti.unand.ac.id
Cardiotocography is a series of inspections to determine the health of the fetus in
pregnancy. The inspection process is carried out by recording the baby's heart rate …

[PDF][PDF] Comparative analysis of classification techniques using Cardiotocography dataset

V Subha, D Murugan, J Rani… - … Journal of Research …, 2013 - researchgate.net
Cardiotocography (CTG) is the most widely used technique to monitor the fetal health and
fetal heart rate. By observing the Cardiotocography trace patterns doctors can understand …

Classification and feature selection approaches for cardiotocography by machine learning techniques

SCR Nandipati, C XinYing - Journal of Telecommunication …, 2020 - jtec.utem.edu.my
Cardiotocography (CTG) is the commonly used tool to monitor fetal distress (hypoxia), other
fetal risks such as fetal heart rate, and autonomous nervous system maturation. If not …

[PDF][PDF] A feature selection approach for enhancing the cardiotocography classification performance

SA Dongare, VK Ande… - International Journal of …, 2018 - researchgate.net
Data Mining is an interdisciplinary field of study for knowledge discovery from the large data
sets. Collection of data, preprocessing, applying intelligent data mining techniques and …

[PDF][PDF] Classification of cardiotocograms using random forest classifier and selection of important features from cardiotocogram signal

M Arif - Biomaterials and Biomechanics in Bioengineering, 2015 - researchgate.net
In obstetrics, cardiotocography is a procedure to record the fetal heartbeat and the uterine
contractions usually during the last trimester of pregnancy. It helps to monitor patterns …

Classification of cardiotocography data with WEKA

D Bhatnagar, P Maheshwari - International Journal of Computer …, 2016 - eprints.rclis.org
Cardiotocography (CTG) records fetal heart rate (FHR) and uterine contractions (UC)
simultaneously. Cardiotocography trace patterns help doctors to understand the state of the …

Decision tree method using for fetal state classification from cardiotography data

MZ Arif, R Ahmed, UH Sadia, MSI Tultul… - Journal of Advanced …, 2020 - jaec.vn
The motive of the investigation is analyzing the categorization of fetal state code from the
Cardiographic data set based on decision tree method. Cardiotocography is one of the …

A systematic review of automated pre-processing, feature extraction and classification of cardiotocography

S Al-Yousif, A Jaenul, W Al-Dayyeni, A Alamoodi… - PeerJ Computer …, 2021 - peerj.com
Objective This study aimed to perform a systematic review to describe the achievements
made by the researchers, summarizing findings that have been found by previous …

Cardiotocogram data classification using random forest based machine learning algorithm

MM Imran Molla, JJ Jui, BS Bari, M Rashid… - Proceedings of the 11th …, 2021 - Springer
The Cardiotocography is the most broadly utilized technique in obstetrics practice to monitor
fetal health condition. The foremost motive of monitoring is to detect the fetal hypoxia at early …

[PDF][PDF] Classification of cardiotocogram data using neural network based machine learning technique

C Sundar, M Chitradevi… - International Journal of …, 2012 - researchgate.net
Cardiotocography (CTG) is a simultaneous recording of fetal heart rate (FHR) and uterine
contractions (UC). It is one of the most common diagnostic techniques to evaluate maternal …