Identifying drug-to-drug interactions in medical content and applying interactions to treatment recommendations

Abstract

Mechanisms are provided for collecting and applying drug-to-drug interaction information from natural language documents. The mechanisms perform natural language processing of natural language documents in a corpus of natural language documents, to identify content in the natural language documents that describe a drug-to-drug interaction. The mechanisms categorize the drug-to-drug interaction and calculate, for a first drug in the drug-to-drug interaction, an exclusion weighting factor for use in evaluating treatments for patients that include a second drug of the drug-to-drug interaction based on the categorization of the drug-to-drug interaction. The mechanisms store the drug-to-drug interaction as a drug-to-drug interaction data structure that specifies the first drug, the second drug, the categorization of the drug-to-drug interaction, and the exclusion weighting factor associated with the drug-to-drug interaction. The mechanisms generate a treatment recommendation for treating a medical condition of a patient based on one or more drug-to-drug interaction data structures.