International Business Machines Corporation

Sue S Schmidt

Corville O Allen

Timothy A Bishop

Leah Rae Smutzer

Michael Terry Payne

Cognitive medical treatment recommendation mechanisms are provided. The mechanisms ingest a corpus of medical treatment content that comprises drug-to-drug interaction information. The mechanisms generate a set of drug interaction insight data structures and an initial set of candidate treatments for a medical condition of a patient based on an analysis of an electronic medical record associated with the patient. The mechanisms rank candidate treatments in the initial set of candidate treatments based on the set of drug interaction insight data structures to generate a final set of candidate treatments, where the ranking reduces rankings of candidate treatments in which drug interactions are identified in the set of drug interaction insight data structures. The mechanisms output a treatment recommendation based on the final set of candidate treatments.

Treatment recommendations based on drug-to-drug interactions

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.

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

Mechanisms are provided to implement a medical condition base cartridge generator. The mechanisms ingest an electronic corpus of medical content and generate a medical condition base cartridge for a medical condition. The medical condition base cartridge is a pluggable cartridge comprising insight data structures that specify an association of clinical attributes of patients with the medical condition and a treatment for the medical condition. The mechanisms install the medical condition base cartridge as a resource for performing a cognitive operation.

Growing community of inventors

Rochester, MN, United States of America

Sue S Schmidt