Efficient Fetal Health Monitoring and Classification with Machine Learning-Reference-Cited by-同舟云学术

Efficient Fetal Health Monitoring and Classification with Machine Learning

Published:2023-05-17 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS)
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Author:

Singh Kabir¹,Shyry Prayla¹,Franklin Ramya G¹

Affiliation:

1. Sathyabama Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10142228/10142218/10142312.pdf?arnumber=10142312

Reference8 articles.

1. Fetal health classification using feature selection and machine learning algorithms;elmogy;Published for the Journal of Medical Systems,2017

2. Fetal health classification using genet ic programming and art ificial neural networks;das;Published in the International Journal of Computational Intelligence Systems,2011

3. Fetal health classification using deep convolutional neural networks;lecun;Published in the Proceedings of the 25th International Conference on Neural Information Processing Systems,2012

4. A machine learning approach to fetal health classification based on heart rate variability;martínez-murcia;Published in the Journal of Healthcare Engineering,2018

5. Fetal health classification using artificial neural networks;khadem;Published for the Journal of Medical Systems,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Foetal Health Classification Using Input Dataset and Fine Tuning it using K-nearest Neighbour, Naïve Bayes and Decision Tree Classifier;2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI);2023-10-19