NDLI: Prediction of the basic gonadotrophic hormone levels in girls with precocious puberty using ultrasonic union artificial neural network

Content Provider	IEEE Xplore Digital Library
Author	Zhe-Hao Liang Wei Lu
Copyright Year	2011
Description	Author affiliation: Department of Ultrasound, First Affiliated Hospital of Zhejiang University of Traditional Chinese Medicine, Hangzhou 310006, China (Zhe-Hao Liang) \|\| Clinical Laboratory, First Affiliated Hospital of Zhejiang University of Traditional Chinese Medicine, Hangzhou 310006, China (Wei Lu)
Abstract	Objective To Predict the basic luteinizing hormone (LH) and follicle stimulating hormone (FSH) levels in girls with precocious puberty using ultrasonic union artificial neural network. Methods In 71 girls with precocious puberty, the uterine and ovarian were examined with ultrasound. The back-propagation (BP) neural network was established using uterine volume, ovarian volume and the largest diameter of bilateral ovarian follicles as the input variables and the basic LH and FSH levels as the output variable. The data of 61 cases were used to train the model, and the other 10 cases were used to test the model. Results The predicted values of basic LH levels were correlated with the actual values with the correlation coefficient of 0.997 and the regression slope of 1.0088. The predicted values of basic FSH levels were correlated with the actual values with the correlation coefficient of 0.63 and the regression slope of 1.0054. Conclusions The ultrasonic union artificial neural network can be used to predict the basic LH level quite well and effective.
Starting Page	599
Ending Page	604
File Size	593082
Page Count	6
File Format	PDF
ISBN	9781424499502
ISSN	21579563
e-ISBN	9781424499533
DOI	10.1109/ICNC.2011.6022283
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Correlation Ultrasonic imaging precocious puberty Acoustics Biochemistry Mathematical model luteinizing hormone ultrasonic Biological neural networks follicle stimulating hormone back-propagation neural network
Content Type	Text
Resource Type	Article

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