人工知能学会全国大会論文集
Online ISSN : 2758-7347
第32回 (2018)
セッションID: 4C2-OS-27b-03
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クラスタリングによる看護クリニカルパス生成
*津本 周作木村 知広岩田 春子平野 章二
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This paper proposes the following two-fold clinical care generation method. First, the system proposes how clinical cases with the same DPC code are characterized by mixture model clustering, and construct classification model by the analysis of discharge summaries. Then, cases are classified by using the classification model and a clinical pathway is generated for each new class. The proposed method was evaluated on the dataets extracted hospital information system, whose results show that plausible clinical pathways were obtained.

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