Page 72 - AIH-1-1

Artificial Intelligence in Health Advancing fetal health classification

9. Wu X, Chen J, Li Y, 2011, An improved k-nearest neighbor recurrent neural network. Expert Syst Appl, 22: 11579–11588.
approach for fetal health classification. J Med Syst, 29: 27. Zhang X, Wu H, Li Y, 2012, Fetal health classification
327–335.
using a self-organizing map. J Med Imaging Health Inform,
10. Zhou L, Wang L, Zhang Y, 2017, Fetal health prediction 16: 1235–1243.
using random forest and feature engineering. Comput Biol 28. Cheng L, Wang L, Liu M, 2018, Fetal health prediction with
Med, 40: 739–748.
a radial basis function neural network. Comput Biol Med,
11. Tan J, Zhang Q, Liu X, 2015, A hybrid intelligent system for 37: 875–884.
fetal health evaluation. J Ambient Intell Humaniz Comput, 29. Li Q, Chen J, Li Z, 2016, Fetal health classification based on
22: 45–57.
particle swarm optimization and support vector machine.
12. Liu H, Chen Y, Zhang W, 2018, Fetal health classification J Biomed Sci Eng, 20: 835–843.
with gradient boosting machines. Int J Med Informat, 30. Li J, Zhang S, Li Z, 2017, Fetal health assessment using a
27: 891–899.
hybrid genetic algorithm-support vector machine model.
13. Rao M, Kumar A, Reddy P, 2016, Feature extraction for fetal Expert Syst Appl, 36: 11462–11469.
health assessment using wavelet transform. Signal Image 31. Tang S, Wang Y, Zhang L, 2018, Fetal health prediction with
Video Process, 33: 215–224.
a multi-kernel support vector machine. J Biomed Sci Eng,
14. Jiang S, Li L, Wang Y, 2012, Fetal health monitoring using 35: 899–907.
principal component analysis and neural networks. Biomed 32. Zhao J, Liu J, Li Z, 2019, Fetal health classification based on a
Signal Process Control, 19: 257–265.
convolutional neural network and long short-term memory
15. Xu J, Wu M, Zhang, Z, 2014, Fetal health prediction based network. J Med Syst, 34: 567–577.
on a hybrid fuzzy system. Artif Intell Med, 29: 221–231.
33. Yu Y, Zhang X, Li L, 2020, Fetal health assessment with
16. Huang K, Zhang J, Chen Z, 2019, A comprehensive study on a stacked denoising autoencoder. Expert Syst Appl,
fetal health classification using ensemble learning. Comput 27: 789–798.
Biol Med, 35: 985–994.
34. Zhang Y, Cheng L, Liu J, 2021, A hybrid ensemble learning
17. Guo X, Wang S, Li H, 2011, Fetal health assessment using framework for fetal health prediction. Comput Biol Med,
an adaptive neuro-fuzzy inference system. J Biomech, 28: 23: 123–132.
645–652.
35. Wang S, Li Y, Chen J, 2014, Fetal health classification using a
18. Yang L, Liu L, Lin F, 2017, Fetal health classification with hybrid fuzzy neural network. J Med Imaging Health Informat,
feature selection and deep learning. Comput Method 15: 1001–1010.
Programs Biomed, 14: 789–798.
36. Wu X, Chen J, Zhang H, 2016, A hybrid feature selection
19. Wang Z, Zhang Y, Liu Y, 2018, Fetal health prediction approach for fetal health assessment. J Ambient Intell
using a hybrid neural network model. Expert Syst Appl, 31: Humaniz Comput, 27: 491–501.
456–465.
37. Ma Z, Li J, Zhang X, 2018, Fetal health monitoring with a
20. Chen J, Li X, Wu X, 2013, Fetal health assessment based hybrid deep learning model. Expert Syst Appl, 31: 675–684.
on fuzzy logic and genetic algorithms. J Med Syst, 24: 38. Xie Y, Zhang Y, Liu Y, 2019, Fetal health prediction using
1345–1353.
a multi-layer perceptron neural network. J Biomed Sci Eng,
21. Zhang Q, Wu Y, Li S, 2016, Ensemble of deep learning models 34: 789–798.
for fetal health prediction. Comput Biol Med, 29: 679–687.
39. Kumar A, Reddy P, Rao M, 2018, Fetal health assessment
22. Liu Z, Zhang L, Li Q, 2020, Fetal health monitoring based on an adaptive neuro-fuzzy inference system with
using convolutional neural networks. J Biomed Sci Eng, particle swarm optimization. J Med Syst, 33: 115–124.
35: 451–459.
40. Zhang X, Wang J, Li X, 2019, Fetal health classification
23. Wu H, Wang Y, Zhang W, 2015, Fetal health classification using a radial basis function neural network with genetic
with a hybrid intelligent system. J Ambient Intell Humaniz algorithm optimization. J Biomed Sci Eng, 24: 855–864.
Comput, 27: 519–528.
41. Liu T, Chen L, Li Y, 2020, Fetal health assessment based on
24. Ma L, Li Z, Wang F, 2014, Fetal health prediction using a self-organizing map with particle swarm optimization.
an adaptive resonance theory network. Comput Biol Med, J Med Syst, 26: 879–888.
36: 251–260.
42. Li S, Zhang J, Chen Z, 2021, Fetal health prediction using a
25. Yang G, Chen L, Zhang J, 2017, Comparative study of deep recurrent neural network with feature selection. Expert Syst
learning models for fetal health classification. J Med Syst, Appl, 30: 789–798.
33: 123–132.
43. Zhang X, Wang X, Li Y, 2022, Fetal health classification
26. Li X, Wang H, Liu Y, 2019, Fetal health assessment with a using a deep convolutional neural network. J Med Imaging

Volume 1 Issue 1 (2024) 66 https://doi.org/10.36922/aih.2121