Presentation 1994/12/16
A diagnosis knowledge acquisition of chronic liver disease with neural network and statistical method
Masamitu Murakami, Koji Oguri, Akira Iwata, Toshiaki Fukatsu, Kazunobu Yamauchi,
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Abstract(in English) We developed a dicision support system to make seven classifications of chronic liver diseases by neural network and statistics method.The input data were decided to analyze the results of the questionnare surveys and Mann Whitney Tests.A back propagation neural network was designed to diagnose between the chronical disease or not.The output of a neural network are checked by a medical rule base.The network architecture had constructed each disease.Network inputs are consisted within 29 laboratory data per 330 patient cases.After being trained the system classified chronic liver diseases correctly in 268 of 330 cases(81.2%).When sufficiently sophisticated,this system may significantly improve the analysis of chronic liver disease.
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Keyword(in English) neural network / knowledge acquisition / diagnosis support / chronic liver
Paper # MBE94-98
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Committee MBE
Conference Date 1994/12/16(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A diagnosis knowledge acquisition of chronic liver disease with neural network and statistical method
Sub Title (in English)
Keyword(1) neural network
Keyword(2) knowledge acquisition
Keyword(3) diagnosis support
Keyword(4) chronic liver
1st Author's Name Masamitu Murakami
1st Author's Affiliation Nagoya Institute of Technology()
2nd Author's Name Koji Oguri
2nd Author's Affiliation Aichi Pref.University
3rd Author's Name Akira Iwata
3rd Author's Affiliation Nagoya Institute of Technology
4th Author's Name Toshiaki Fukatsu
4th Author's Affiliation School of Med.,Nagoya University
5th Author's Name Kazunobu Yamauchi
5th Author's Affiliation School of Med.,Nagoya University
Date 1994/12/16
Paper # MBE94-98
Volume (vol) vol.94
Number (no) 416
Page pp.pp.-
#Pages 6
Date of Issue