Research Paper: "Understanding" Medical School Curriculum Content Using KnowledgeMap

By Joshua Charles Denny, Jeffrey D. Smithers, R. Miller, A. Spickard. 2003

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Natural Language Processing for EHR-Based Computational Phenotyping (2018, methodology): “Carroll et al. [27] implemented a SVM model for rheumatoid arthritis identification using a set of features from clinical narratives using the Knowledge Map Concept Identifier (KMCI) [126].”
Naïve Electronic Health Record phenotype identification for Rheumatoid arthritis. (2011, methodology): “The notes were then processed by the KnowledgeMap Concept Identifier (KMCI) 8 which processes clinical notes and returns CUIs and any qualifiers, such as negation status, which is implemented via a modified form of NegEx.”
An overview of MetaMap: historical perspective and recent advances (2010, methodology): “One example of an experiment comparing MetaMap with another system was performed by Denny et al 38 They developed a system, KnowledgeMap, for the purpose of identifying concepts in medical curriculum documents and compared KnowledgeMap ’ s performance with that of MetaMap.”