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Presentation 0000-00-00 00:00
A Note on Disease Estimation from Electronic Receipt Data Using Multiple Kinds of Classifiers
Hironori Ikeda, Yasutaka Hatakeyama, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a method for estimating the diseases that need the largest medical resources from electronic receipt data. The proposed method uses Diagnosis Procedure Combination (DPC) data in which the diseases that need the largest medical resources are specified as training sets. From the training sets, the proposed method extracts pairs of feature vectors calculated from medical care information and labels of the diseases, which are used to train a classifier. Then the use of the classifier enables estimation of the diseases from electronic receipt data. This paper considers realization of more accurate estimation technique of the deseases that need the largest medical resources by using multiple kinds of classifiers.
Keyword (in Japanese) (See Japanese page) 
(in English) Electronic Receipt / DPC / Classifier / Multiple kinds of classifiers / / / /  
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Conference Information
Committee IEICE-ITS IEICE-IE AIT HI ME  
Conference Date 2011-02-21 - 2011-02-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IEICE-IE 
Conference Code 2011-02-ITS-IE-AIT-HI-ME 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Note on Disease Estimation from Electronic Receipt Data Using Multiple Kinds of Classifiers 
Sub Title (in English)  
Keyword(1) Electronic Receipt  
Keyword(2) DPC  
Keyword(3) Classifier  
Keyword(4) Multiple kinds of classifiers  
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1st Author's Name Hironori Ikeda  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Yasutaka Hatakeyama  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takahiro Ogawa  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Miki Haseyama  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Date Time 0000-00-00 00:00:00 
Presentation Time minutes 
Registration for IEICE-IE 
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Volume (vol) vol.35 
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