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Aquisição e Interrogação de Conhecimento de Prática Clínica usando Linguagem Natural
Phd Post-Graduation
Abstract:

The scientific concepts, methodologies and tooling in the Knowledge Representation (KR) subdomain of applied Artificial Intelligence (AI) came a long way with enormous strides in recent years. The usage of domain conceptualizations that are Ontologies is now powerful enough to aim at computable reasoning over complex realities. One of the most challenging scientific and technical human endeavors is the daily Clinical Practice (CP) of Cardiovascular (CV) specialty healthcare providers. Such a complex domain can benefit largely from the possibility of clinical reasoning aids that are now at the edge of being available. We research into a complete end-to-end solid ontological infrastructure for CP knowledge representation as well as the associated processes to automatically acquire knowledge from clinical texts and reason over it.


Start Date: 2010-09-01

End Date: 2014-12-03




Post-Graduation Student / Researcher / Professor:
  • David José Murteira Mendes ( Universidade de Évora )

Post-Graduation Supervisor(s):
  • Irene Pimenta Rodrigues ( CENTRIA )

Post-Graduation Jury:
  • Gabriel Pereira Lopes
  • Irene Pimenta Rodrigues ( CENTRIA )
  • João Balsa da Silva ( Faculdade de Ciências da Universidade de Lisboa )
  • José Júlio Alferes ( CENTRIA )
  • Manuel Armando Oliveira Pereira dos Santos ( Universidade de Évora )
  • Ricardo Filipe Gonçalves Martinho ( Instituto Politécnico de Leiria )
  • Vitor Manuel Beires Pinto Nogueira ( Universidade de Évora )
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