An approach for solving multi-level diagnosis in high sensitivity medical diagnosis systems through the application of semantic technologies

作者: Alejandro Rodríguez-González , Giner Alor-Hernández

DOI: 10.1016/J.COMPBIOMED.2012.10.007

关键词: Data miningArtificial intelligenceMedical diagnosisSensitivity (control systems)Computer scienceElement (category theory)Semantic technologyMachine learningPoint (geometry)Context (language use)Knowledge baseInference

摘要: The capability of medical diagnosis systems to provide results in different situations depends on the modeling knowledge base. In case high sensitivity systems, having an adequate model allows increase accuracy system even where number input elements is low. this context concept multi-level emerges, a pathology can be assumed as diagnostic element another (acting finding). paper studied depth from point view, providing solution based rule inference techniques modeled with semantic technologies, and allowing solving problem generated by diagnosis.

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