| CPC G16H 50/20 (2018.01) [G16H 50/30 (2018.01)] | 16 Claims |
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1. A system comprising:
one or more processing circuits including one or more memory devices coupled to one or more processors, the one or more memory devices configured to store instructions thereon that, when executed by the one or more processors, cause the one or more processors to:
identify minority class data and majority class data in patient-level data, the minority class data corresponding to patients with a health failure, the majority class data corresponding to patients without the health failure;
oversample the minority class data to obtain synthetic class data;
automatically reduce, using a machine learning classifier, risk factor variables to a reduced set of risk factor variables based on the majority class data, the minority class data, and the synthetic class data;
execute the machine learning classifier using as input a reduced set of risk factor variable data for a patient corresponding to the reduced set of risk factor variables to generate a probability indicator of the health failure for the patient; and
provide one or more graphical user interfaces for display, the one or more graphical user interfaces displaying:
a user input interface that facilitates entry of the reduced set of risk factor variable data for evaluation by the machine learning classifier; and
a prediction probability interface that provides a prediction the probability indicator generated by the machine learning classifier.
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