@inproceedings{618e4681b91e4625a3f2dc44b8596279,
title = "New method of judging sub-health state based on rough sets and BP neural network",
abstract = "We propose a new decision model for sub-health in this paper. Unlike traditional statistical analysis method, the model is built with rough sets and BP neural network with 18743 items of data owning 155 dimensions of attributes, we divide sub-health state into three different grade at first in order to reflect the precision of the model. The results of experiments show that the precision of judgment is 94.4% for male test data set and 96.53% for female. Besides these, the feedback strategy helps to improve the performance of the model.",
keywords = "BP neural network, Bioinformatics, Rough sets, Sub-health",
author = "Bin Liu and Luo, {Sen Lin} and Pan, {Li Min} and Liu, {Yun Jie} and Ye, {Ming De} and Zhang, {Tie Mei}",
year = "2010",
doi = "10.1109/ICBECS.2010.5462524",
language = "English",
isbn = "9781424453153",
series = "2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010",
booktitle = "2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010",
note = "2010 International Conference on Biomedical Engineering and Computer Science, ICBECS 2010 ; Conference date: 23-04-2010 Through 25-04-2010",
}