Developing a Statistical Software for Predicting Hospital Bankruptcy using Data Mining Tool / 대한의료정보학회지
Journal of Korean Society of Medical Informatics
;
: 9-16, 2001.
Artigo
em Coreano
| WPRIM
| ID: wpr-147066
ABSTRACT
Since the hospital bankruptcy rate is increasing, it has been an important issue to predict the bankruptcy of hospital using the existing hospital management information. Fortunately, the implementation of data mining methodology and decision support system(DSS) are becoming popular. Therefore, this study developed the statistical software for predicting hospital bankruptcy using data mining tool. Stepwise procedures were taken as follows 1) adopting the HGLM and Logit Models; 2) implementing the input and output processes; 3) linking to the iBITs interface, the data miming tool; and 4) evaluating the software by fitting the hospital management data in practice. The software is written in Visual C++ 5.0 under windows NT/95, and allows the interconnection with other interfaces and libraries. This program initiates encouragement of implementation of DSS models using data mining methodology, in health care fields. This kind of software will play a pivotal role in improving the efficiency and adequacy of managing health care institutions.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Modelos Logísticos
/
Modelos Estatísticos
/
Falência da Empresa
/
Atenção à Saúde
/
Mineração de Dados
Tipo de estudo:
Estudo prognóstico
/
Fatores de risco
Idioma:
Coreano
Revista:
Journal of Korean Society of Medical Informatics
Ano de publicação:
2001
Tipo de documento:
Artigo
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