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FEATURE EXTRACTION MODELS FOR MEDICAL KNOWLEDGE REPRESENTATION AS ENTITY RECOGNITION TO FACT CONSTRUCTION.

As the mass of medical data and its growing availability continue to rise, the difficulty of deriving knowledge out of texts in natural language is getting bigger. To cope with this complexity, the information extraction has become one of the cornerstones of artificial intelligence and text analysis...

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Publicado en:Scientific Culture Vol. 12; no. 1, Part 1; pp. 2451 - 2467
Autores principales: Abdullah, Sura Mahmood, Al-Bakry, Abbas Mohsin, Farhan, Alaa K.
Formato: Artículo
Publicado: University of the Aegean 2026
Materias:
Feature extraction
Natural language processing
Language models
Coronary artery disease
Machine learning
Medical records
Data mining
Acceso en línea:Ver este registro en EBSCOhost