作者: Alejandro Rodríguez-González , Giner Alor-Hernández
DOI: 10.1016/J.COMPBIOMED.2012.10.007
关键词: Data mining 、 Artificial intelligence 、 Medical diagnosis 、 Sensitivity (control systems) 、 Computer science 、 Element (category theory) 、 Semantic technology 、 Machine learning 、 Point (geometry) 、 Context (language use) 、 Knowledge base 、 Inference
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.