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Clinical Pathway Generation from Hospital Information System
Author(s) -
Shusaku Tsumoto,
Tomohiro Kimura,
Haruko Iwata,
Shoji Hirano
Publication year - 2018
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2018.10.233
Subject(s) - computer science , cluster analysis , hospital information system , artificial intelligence , data mining , information system , electrical engineering , engineering
This paper proposes the following three-fold clinical care generation method. First, the system extracts subgrouping from clinical cases with the same Diagnostic Procedure Combination code (DPC) by mixture model clustering. Then, it constructs classification models of each subgroup by the analysis of discharge summaries. Finally, cases are classified by using the classification model and a clinical pathway is generated for each new subgroup.. The proposed method was evaluated on the datasets extracted hospital information system, whose results show that plausible clinical pathways were obtained, compared with previously introduced methods.

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