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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Electronic Receipt / Most Resource-consuming Disease |
Paper # | ITS2011-54,IE2011-130 |
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Committee | ITS |
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Conference Date | 2012/2/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Intelligent Transport Systems Technology (ITS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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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