Prediction of fetal state from the cardiotocogram recordings using adaptive neuro-fuzzy inference systems

Author:

Ocak Hasan,Ertunc Huseyin Metin

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Cited by 37 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. Fetal monitoring technologies for the detection of intrapartum hypoxia - challenges and opportunities;Biomedical Physics & Engineering Express;2024-01-19

2. Refining the rule base of fuzzy classifier to support the evaluation of fetal condition;Applied Soft Computing;2023-11

3. An improved ensemble model of hyper parameter tuned ML algorithms for fetal health prediction;International Journal of Information Technology;2023-10-13

4. Review on Fetal Health Classification;Algorithms for Intelligent Systems;2023

5. Automated Classification of CTG signals using Deep Learning based Scalogram Analysis;2022 IEEE Global Conference on Computing, Power and Communication Technologies (GlobConPT);2022-09-23

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