International Business Machines Corporation

Corey Sanders

Fernando Jose Suarez Saiz

Richard Joseph Stevens

Michael Britt

Robert L Nielsen

Nicholas Todd Lawrence

A system and related method exchange medical information with a medical management system. The method comprises receiving, using a processor of a code point resolver, from the medical management system, medical text via a network interface. A code point is a single standardized medical terminology code (SMTC) that corresponds to a medical concept contained within the medical text. The method further applies rule-based logic to process the medical text to form a localized mapping of a text portion of the medical text to a plurality of candidate SMTCs (CSMTCs) that are related to at least one metathesaurus concept entity (MCE) in a metathesaurus, and to determines the code point from the CSMTCs. The method transmits, via the network interface, to the medical management system, the code point.

Code point resolution using natural language processing and metathesaurus

Techniques for cognitively interpreting comparative statements are provided. A corpus of documents associated with treatment of a first medical disorder is received. Relative efficacies for a plurality of therapies are determined by, for at least a first respective document in the corpus of documents, identifying and extracting, using one or more natural language processing techniques, a conclusion specified within natural language text of the respective document, where the conclusion includes a comparison between two or more therapies of the plurality of therapies, determining a sentiment of the extracted conclusion, with respect to at least one therapy of the plurality of therapies, and identifying one or more cohorts of patients that are associated with the conclusion. A knowledge graph is generated based on the relative efficacies.

Extraction, representation, and cognitive interpretation of medically relevant evidence

A method, computer program product, and computing system device for receiving, at a computing device, a plurality of candidate therapy options, a corpus of therapy data, and a set of therapy recipient cohorts. At least a portion of therapy data may be filtered from the corpus of therapy data based upon, at least in part, the plurality of candidate therapy options and the set of therapy recipient cohorts. A graph may be generated to include a plurality of nodes representative of the plurality of candidate therapy options and a plurality of connections between the plurality of nodes indicating a sentiment factor with respect to the plurality of candidate therapy options based upon, at least in part, the at least a portion of therapy data filtered from the corpus of therapy data. Using the graph, a ranked list of the plurality of candidate therapy options may be generated.

Growing community of inventors

Hilliard, OH, United States of America

Corey Sanders