Methods and systems for predicting prescription directions using machine learning algorithm

A method comprising:

• a drug direction prediction subsystem receiving and pre-processing values of a plurality of required pharmacy elements for a corresponding prescription of a plurality of prescriptions;
• the drug direction prediction subsystem generating 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;
• the drug direction prediction subsystem creating 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
• the drug direction prediction subsystem predicting 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.

A non-transitory machine-readable medium comprising instructions, which, when executed by one or more processors, cause the one or more processors to perform the following operations:

• receive and pre-process values of a plurality of required pharmacy elements for a corresponding prescription of the plurality of prescriptions;
• generate 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;
• create 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
• predict 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.