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
收藏
页码：83 / 98
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