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Clinical and Experimental Obstetrics & Gynecology  2019, Vol. 46 Issue (6): 958-963    DOI: 10.12891/ceog5022.2019
Original Research Previous articles | Next articles
Artificial neural network models for prediction of premature ovarian failure
Y. Wu1, *(), L. Tong2, L. Xiao1
1Huarun Wuhan Iron and Steel General Hospital of Wuhan University of Science and Technology, Wuhan, China
2School of Nursing, Wuchang University of Technology, Wuhan, China
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Aim: The aim of this study is to develop and optimize artificial neural network models for accurate prediction of premature ovarian failure (POF), to test these models on data collected prospectively from different centres. Materials and Methods: The study used data from 316 women presenting to six communities governed by a street in Wuhan, Hubei, China. Unbiased randomization was divided into training samples (177 cases), test samples (44 cases), and adherence samples (95 cases). Data from training samples and test samples were used to train the models, which were then tested on independent data from adherence samples. From 35 potential factors, variables were selected by Analytic Hierarchy Process (AHP), and then were used in the ANN model to make the prediction. Results: The predicting accuracy of the train set, validation set, and test set were 98.73%, 94.15%, and 92.15%, respectively, when the generalization ability was verified. Conclusion: This study confirms that artificial neural network can offer a useful approach for developing diagnostic algorithms for POF prediction.

Key words:  Premature ovarian failure      Analytic hierarchy process      Artificial neural network      Prediction model     
Published:  10 December 2019     
*Corresponding Author(s):  YAN WU     E-mail:

Cite this article: 

Y. Wu, L. Tong, L. Xiao. Artificial neural network models for prediction of premature ovarian failure. Clinical and Experimental Obstetrics & Gynecology, 2019, 46(6): 958-963.

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[1] J. H. Check, R. Cohen. A second successful pregnancy using oocytes from a woman with premature ovarian failure with embryos transferred to a gestational carrier[J]. Clinical and Experimental Obstetrics & Gynecology, 2017, 44(4): 507-508.
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