Temporal Data Mining for Nursing Schedule Management

Author

Tsumoto, Shusaku ; Hirano, Shoji ; Iwata, Haruko

Author_Institution

Dept. of Med. Inf., Shimane Univ., Izumo, Japan

fYear

2012

fDate

26-28 Sept. 2012

Firstpage

229

Lastpage

234

Abstract

Since hospital data include temporal trends of clinical symptoms and medical services, we can discover not only knowledge about temporal evolution of disease, but also one about medical practice from hospital information system. This paper proposes temporal data mining process and applied the method to capture temporal knowledge about nursing practice. 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.

Keywords

data mining; diseases; medical information systems; patient care; scheduling; hospital data; hospital information system; knowledge discovery; medical practices; nursing practice; nursing schedule management; temporal clinical symptom trends; temporal data mining process; temporal disease evolution; temporal knowledge; temporal medical service trends; Data mining; Diseases; Hospitals; Information systems; Lungs; Pain; Clinical pathway Clustering; Hospital management; Multidimensional scaling; Temporal Data mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Bio-Inspired Computing and Applications (IBICA), 2012 Third International Conference on

Conference_Location

Kaohsiung

Print_ISBN

978-1-4673-2838-8

Type

conf

DOI

10.1109/IBICA.2012.64

Filename

6337669