[PDF][PDF] Performance comparison of three classifiers for fetal health classification based on cardiotocographic data

V Khare, S Kumari - Acadlore Transactions on AI and Machine …, 2022 - library.acadlore.com
The global child mortality rate, which is steadily declining, will be around 26 fatalities per
1000 live births in 2022. Numerous Sustainable Development Goals of the United Nations …

Classification of cardiotocography records by random forest

P Tomáš, J Krohova, P Dohnalek… - 2013 36th International …, 2013 - ieeexplore.ieee.org
The cardiotocography (CTG) is a diagnostic method which is widely used in prenatal care.
The CTG is indicated since 27 weeks of pregnancy and it measures heart activity, uterine …

A hybrid approach based on genetic algorithm and particle swarm optimization to improve neural network classification

NM Hewahi, EA Hamra - Journal of Information Technology …, 2017 - igi-global.com
Abstract Artificial Neural Network (ANN) has played a significant role in many areas because
of its ability to solve many complex problems that mathematical methods failed to solve …

Human fetus health classification on cardiotocographic data using random forests

T Peterek, P Gajdoš, P Dohnálek, J Krohová - Intelligent Data analysis and …, 2014 - Springer
Pregnancy and fetus development is an extremely complex biological process that, while
generally successful and without complications, can go wrong. One of the methods to …

Exploring the utility of artificial intelligence of intrapartum cardiotocography: a systematic review

M Salih, RR Warty, HK Murday, A Kaushik, Y Zhang… - 2023 - researchsquare.com
Background: Cardiotocography (CTG) interpretation is complex and highly subjective.
Misinterpretation can result unnecessary, late, or inadequate intervention; potentially …

Enhanced Classification Performance of Cardiotocogram Data for Fetal State Anticipation Using Evolutionary Feature Reduction Techniques

S Velappan, MB Arumugam… - Handbook of Artificial …, 2021 - taylorfrancis.com
Role of computers became inevitable in healthcare sector and computers with information
and communication technologies are found to be widely used for assessment, patient …

SUBHA VELAPPAN, 1* MANIVANNA BOOPATHI ARUMUGAM, 2 and

Z COMERT - Handbook of Artificial Intelligence in Biomedical …, 2021 - books.google.com
Role of computers became inevitable in healthcare sector and computers with information
and communication technologies are found to be widely used for assessment, patient …

[PDF][PDF] Combine Genetic Algorithm and Particle Swarm Optimization Approach for Neural Network Classification ﺔﯾﻣزراوﺧﻟا نﯾﺑ ﺞﻣد بوﻟﺳأ فﯾﻧﺻﺗﻟﻟ برﺳﻟا ﺔﯾﻣزراوﺧو ﺔﯾﻧﯾﺟﻟا‎

EAA Hamra, NM Hewahi - 2016 - blog.ajsrp.com
Untitled Page 1 Page 2 Combine Genetic Algorithm and Particle Swarm Optimization Approach
for Neural Network Classification ﺔﯾﻣزراوﺧﻟا نﯾﺑ ﺞﻣد بوﻟﺳأ فﯾﻧﺻﺗﻟﻟ برﺳﻟا ﺔﯾﻣزراوﺧو ﺔﯾﻧﯾﺟﻟا ﺔﯾﺑﺻﻌﻟا ﺎﯾﻼﺧﻟا ﺔﻘﯾرطﺑ …

[引用][C] Klasifikace aktuálního stavu plodu z kardiotokografických záznamů

T Peterek - 2014 - dspace.vsb.cz
Kardiotokografie je vyšetřovací metoda, která zaznamenává variabilitu srdeční frekvence,
pohyby plodu a nitroděložní kontrakce matky. Hlavním cílem této práce je zpřesnit současné …

[引用][C] Feed-forward Neural Network Training using Particle Swarm Optimization

T Gonsalves, A Oguro - Advances in Computer Science …, 2014 - Pushpa Publishing House