IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
A Most Resource-Consuming Disease Estimation Method from Electronic Claim Data Based on Labeled LDA
Yasutaka HATAKEYAMATakahiro OGAWAHironori IKEDAMiki HASEYAMA
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2016 Volume E99.D Issue 3 Pages 763-768

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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.

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© 2016 The Institute of Electronics, Information and Communication Engineers
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