Patient treatment resource utilization predictor
Abstract:
A computer implemented method includes obtaining a schema defining variables representing patient treatment experiences for one or more health conditions, obtaining data from historical patient treatment experiences, the data being arranged in accordance with the schema, training a machine learning system based on a training set of the data for a specified time-period, and generating a model from the trained machine learning system, the model being based on variables selected by the trained machine learning system to predict patient treatment experiences for the one or more health conditions.
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