METHODS AND SYSTEMS FOR PREDICTING INTENSIVE CARE UNIT MORTALITY

Abstract

The present disclosure relates to methods and systems for predicting intensive care unit (ICU) mortality. More specifically, the methods and systems for predicting a likelihood of ICU mortality described herein enable robust modeling of ICU mortality that addresses biases in automated data collection, including variations in documentation practices across different units, different hospital systems, and across time. In certain embodiments, the methods described herein include: providing an ICU mortality 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 prediction features for the patient; analyzing the extracted plurality of different defined ICU prediction features using a trained ICU mortality prediction model; generating a likelihood ICU mortality for the patient based on the analysis; and presenting the generated likelihood of ICU mortality for the patient via a user interface.

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