A Most Resource-Consuming Disease Estimation Method from Electronic Claim Data Based on Labeled LDA

Hatakeyama, Yasutaka; Ogawa, Takahiro; Ikeda, Hironori; Haseyama, Miki

doi:10.1587/transinf.2015EDL8128


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A Most Resource-Consuming Disease Estimation Method from Electronic Claim Data Based on Labeled LDA

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Title:	A Most Resource-Consuming Disease Estimation Method from Electronic Claim Data Based on Labeled LDA
Authors:	Hatakeyama, Yasutaka Browse this author
	Ogawa, Takahiro Browse this author →KAKEN DB
	Ikeda, Hironori Browse this author
	Haseyama, Miki Browse this author →KAKEN DB
Keywords:	most resource-consuming disease
	electronic claim
	labeled LDA
Issue Date:	Mar-2016
Publisher:	電子情報通信学会
Journal Title:	IEICE transactions on information and systems
Volume:	E99D
Issue:	3
Start Page:	763
End Page:	768
Publisher DOI:	10.1587/transinf.2015EDL8128
Abstract:	In this paper, we propose a method to estimate the most resource-consuming disease from electronic claim data based on Labeled Latent Dirichlet Allocation (Labeled LDA). The proposed method models each electronic claim from its medical procedures as a mixture of resource-consuming diseases. Thus, the most resource-consuming disease can be automatically estimated by applying Labeled LDA to the electronic claim data. Although our method is composed of a simple scheme, this is the first trial for realizing estimation of the most resource-consuming disease.
Rights:	Copyright ©2016 The Institute of Electronics, Information and Communication Engineers
Relation:	https://search.ieice.org/
Type:	article
URI:	http://hdl.handle.net/2115/62265
Appears in Collections:	情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 長谷山美紀

OAI-PMH ( junii2 , jpcoar_1.0 )

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