METHODS AND SYSTEMS FOR PREDICTING INTENSIVE CARE UNIT PATIENT LENGTH OF STAY

Abstract

The present disclosure relates to methods and systems for predicting a length of stay (LOS) for a patient in an intensive care unit (ICU). As described herein, the methods and systems for generating a prediction of ICU LOS present improved performance over existing available predictive models. In certain embodiments, the methods described herein include: providing an ICU LOS prediction system; obtaining a plurality of records for a patient in an ICU covering at least a first time period; extracting a plurality of different defined ICU LOS prediction features for the patient; analyzing the extracted plurality of different defined ICU LOS prediction features using a trained developed ICU LOS prediction model; generating a prediction of ICU LOS for the patient based on the analysis; and presenting the generated prediction of ICU LOS for the patient via a user interface.

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