System and method for converting clinical practice guideline to computer interpretable model

A method of converting a clinical practice guideline into a computer-interpretable model comprising:

• assigning at least one tag of a recommendation tag and a non-recommendation tag to each of a plurality of sentences extracted by analyzing the clinical practice guideline, the recommendation tag being generated using a machine learning model;
• assigning a set of alternative tags by a pattern assignment model;
• filtering out a sentence to which the non-recommendation tag is assigned among the plurality of sentences and extracting a sentence to which the recommendation tag is assigned, by a tag filter module, and providing at least a first sentence to the machine learning model and the pattern assignment model in response to identifying a difference between the recommendation tag and the set of alternative tags;
• identifying whether a phrase of a first element and a phrase of a second element exist in the sentence to which the recommendation tag is assigned based on a knowledge database and mapping and storing the phrase of the first element and the phrase of the second element as a computer-interpretable model;
• and
• generating a final model by converting the phrase of the first element and the phrase of the second element into a format corresponding to a specific model.