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

作者：Hatakeyama Yasutaka^*; Ogawa Takahiro; Ikeda Hironori; Haseyama Miki

来源：IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2016, E99D(3): 763-768.

DOI：10.1587/transinf.2015EDL8128

• most resource-consuming disease
• electronic claim
• labeled LDA

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.

• 出版日期2016-3