Mining clinical pathway based on clustering and feature selection

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Abstract

Schedule management of hospitalization is important to maintain or improve the quality of medical care and application of a clinical pathway is one of the important solutions for the management. This research proposed an data-oriented maintenance of existing clinical pathways by using data on histories of nursing orders. If there is no clinical pathway for a given disease, the method will induce a new clinical care plan from the data. The method was evaluated on 10 diseases. The results show that the reuse of stored data will give a powerful tool for management of nursing schedule and lead to improvement of hospital services. © Springer International Publishing 2013.

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APA

Iwata, H., Hirano, S., & Tsumoto, S. (2013). Mining clinical pathway based on clustering and feature selection. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8211 LNAI, pp. 237–245). https://doi.org/10.1007/978-3-319-02753-1_24

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