A self-adapted method for the categorization of social resources

Córdoba, Alberto; Astráin, José Javier; Villadangos, J.; Echarte, Francisco

doi:10.1016/j.eswa.2012.12.075

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…Therefore, it is added content and knowledge to medical images. In order to cope with this knowledge, MKMTool integrates an algorithm for the automatic classification of resources, described in Córdoba [17] and denoted SAM, which classifies resources according to their annotations. SAM performs its work in background without disturbing the physician work.…”

Section: Mkmst Architecturementioning

confidence: 99%

A medical knowledge management system based on expert tagging (MKMST)

Baigorri¹,

Villadangos

Astráin

et al. 2013

WIT Transactions on Information and Communication Technologies

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This paper introduces a prototype of a medical knowledge management system (MKMST) for visual expertise in medical diagnostic reasoning and medical education. The system proposed here, developed following medical expert (radiologists) recommendations, is based on medical image tagging and annotation. Medical images stored in picture archiving and communications systems (PACS) are accessed by medical experts to diagnose pathologies by means of a tagging system and the generation of a taxonomy. The system stores the annotations in a relational database management system and interacts via DICOM standard and HL7 with PACS and the health records. The knowledge base consists of the translation from tacit knowledge to explicit knowledge.

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Section: Mkmst Architecturementioning

confidence: 99%