Predicting inpatient length of stay in a Portuguese hospital using the CRISP-DM methodology

被引：0

作者：

Previsão de tempos de internamento num hospital português: Aplicação da metodologia CRISP-DM

机构：

[1] Laureano, Raul M.S.

[2] Caetano, Nuno

[3] Cortez, Paulo

来源：

| 1600年 / Associacao Iberica de Sistemas e Tecnologias de Informacao卷

关键词：

CRISP-DM - High quality - Input features - Length of stay - Prediction model - Random forest algorithm - Regression;

D O I：

10.4304/risti.13.83-98

中图分类号：

学科分类号：

摘要：

Using data collected from a Portuguese hospital, within the period 2000 to 2013, we adopted the CRISP-DM methodology to predict inpatient length of stay. The best method (random forest algorithm) achieved a high quality prediction. Such model allowed the identification of the most relevant input features, which are related with the patients' clinical attributes.

引用

页码：83 / 98

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