Methods and systems for predicting prescription directions using machine learning algorithm

Abstract

Methods and systems for predicting prescription drug directions are described. In one embodiment, a drug direction prediction subsystem receives and pre-processes values of a plurality of required pharmacy elements for a corresponding prescription of a plurality of prescriptions, generates respective weights for the values of the plurality of required pharmacy elements of the prescription based on one or more of the values of the plurality required pharmacy elements of the prescription, creates a machine learning model to be used by the applicable one of the plurality of machine learning algorithms in predicting drug directions of the prescription, the machine learning model using the values of the plurality of required pharmacy elements of the prescription and the respective weights, and predicts a plurality of drug directions of a new prescription by executing the machine learning model using weighted values of the plurality of required pharmacy elements of the new prescription.