Abstract

LAUREANO, Raul M. S.; CAETANO, Nuno  and  CORTEZ, Paulo. Predicting inpatient length of stay in a Portuguese hospital: using the CRISP-DM methodology. RISTI [online]. 2014, n.13, pp.83-98. ISSN 1646-9895.  https://doi.org/10.4304/risti.13.83-98.

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.

Keywords : Data Mining; Length of Stay; Prediction model; Regression; CRISP-DM.

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