[1] Ma Guangzhi, Lu Yansheng, Song Enmin, Nie Shaofa, et al. Neural network based online hypertension risk evaluation system [J]. Journal of Southeast University (English Edition), 2008, 24 (3): 267-271. [doi:10.3969/j.issn.1003-7985.2008.03.004]

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Neural network based online hypertension risk evaluation system()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

24

Issue:

2008 3

Page:

267-271

Research Field:

Automation

Publishing date:

2008-09-30

Info

Title:

Neural network based online hypertension risk evaluation system

Author(s):

Ma Guangzhi;  Lu Yansheng;  Song Enmin;  Nie Shaofa;  Jing Weifeng;  Zhang Wei

College of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China

Keywords:

hypertension prediction;  neural network;  information gain

PACS:

TP183

DOI:

10.3969/j.issn.1003-7985.2008.03.004

Abstract:

Since the previous research works are not synthetic and accurate enough for building a precise hypertension risk evaluation system, by ranking the significances for hypertension factors according to the information gains on 2 231 normotensive and 823 hypertensive samples, totally 42 different neural network models are built and tested.The prediction accuracy of a model whose inputs are 26 factors is found to be much higher than the 81.61% obtained by previous research work. The prediction matching rates of the model for “hypertension or not”, “systolic blood pressure”, and “diastolic blood pressure” are 95.79%, 98.22% and 98.41%, respectively.Based on the found model and the object oriented techniques, an online hypertension risk evaluation system is developed, being able to gather new samples, learn the new samples, and improve its prediction accuracy automatically.

References:

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Memo

Memo:

Biographies: Ma Guangzhi(1964—), male, associate professor, maguangzhi@hust.edu.cn;Lu Yansheng(corresponding author), male, professor, LYS@hust.edu.cn.
Foundation item: The National High Technology Research and Development Program of China(863 Program)(No.2006AA02Z347).
Citation: Ma Guangzhi, Lu Yansheng, Song Enmin, et al.Neural network based online hypertension risk evaluation system[J].Journal of Southeast University(English Edition), 2008, 24(3):267-271.

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