Presentation 2012-02-21
A Note on Accurate estimation method of Most Resource-consuming Diseases in Electronic Receipt Data
Hironori IKEDA, Yasutaka HATAKEYAMA, Takahiro OGAWA, Miki HASEYAMA,
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Abstract(in English) This paper proposes a method for estimating the most resource-consuming diseases from electronic receipt data. The proposed method constructs the model that represents medical treatments for diseases in a electronic receipt as a mixture distribution of medical treatments for a disease, which are represented as a probability distribution over medical practices, medical drugs and special treatment materials, by using Labeled LDA, one of probabilistic topic models. Using this model, the proposed method can realize estimation of points for each disease in a electronic receipt, and accurate estimation of the most resource-consuming diseases becomes feasible.
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Keyword(in English) Electronic Receipt / Most Resource-consuming Disease
Paper # ITS2011-54,IE2011-130
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Committee ITS
Conference Date 2012/2/13(1days)
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Registration To Intelligent Transport Systems Technology (ITS)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) A Note on Accurate estimation method of Most Resource-consuming Diseases in Electronic Receipt Data
Sub Title (in English)
Keyword(1) Electronic Receipt
Keyword(2) Most Resource-consuming Disease
1st Author's Name Hironori IKEDA
1st Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University()
2nd Author's Name Yasutaka HATAKEYAMA
2nd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
3rd Author's Name Takahiro OGAWA
3rd Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
4th Author's Name Miki HASEYAMA
4th Author's Affiliation Graduate School of Information Science and Technology, Hokkaido University
Date 2012-02-21
Paper # ITS2011-54,IE2011-130
Volume (vol) vol.111
Number (no) 441
Page pp.pp.-
#Pages 5
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