Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP)
J. Jayashree
Harsha T
Anil Kumar C
J. Vijayashree
2020-02-29
<p>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.</p>
https://doi.org/10.35940/ijeat.C6502.029320
oai:zenodo.org:5596016
eng
Zenodo
issn:2249-8958
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
International Journal of Engineering and Advanced Technology (IJEAT), 9(3), 4364-4370, (2020-02-29)
Fetal heart rate, cardiotocography, uterine contractions, machine learning, MRMR, python.
Enhanced Optimal Feature Selection Techniques for Fetal Risk Prediction using Machine Learning Algorithms
info:eu-repo/semantics/article