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A recommender system for medical imaging diagnostic.
Monteiro, Eriksson; Valente, Frederico; Costa, Carlos; Oliveira, José Luís.
Affiliation
  • Monteiro E; Department of Electronics, Telecommunications and Informatics (DETI) IEETA - Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro, Aveiro, Portugal.
  • Valente F; Department of Electronics, Telecommunications and Informatics (DETI) IEETA - Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro, Aveiro, Portugal.
  • Costa C; Department of Electronics, Telecommunications and Informatics (DETI) IEETA - Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro, Aveiro, Portugal.
  • Oliveira JL; Department of Electronics, Telecommunications and Informatics (DETI) IEETA - Institute of Electronics and Telematics Engineering of Aveiro (IEETA) University of Aveiro, Aveiro, Portugal.
Stud Health Technol Inform ; 210: 461-3, 2015.
Article in En | MEDLINE | ID: mdl-25991188
The large volume of data captured daily in healthcare institutions is opening new and great perspectives about the best ways to use it towards improving clinical practice. In this paper we present a context-based recommender system to support medical imaging diagnostic. The system relies on data mining and context-based retrieval techniques to automatically lookup for relevant information that may help physicians in the diagnostic decision.
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Collection: 01-internacional Database: MEDLINE Main subject: Expert Systems / Image Interpretation, Computer-Assisted / Radiology Information Systems / Decision Support Systems, Clinical / Data Mining / Search Engine Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2015 Document type: Article Affiliation country: Portugal Country of publication: Netherlands
Search on Google
Add to My VHL
Print
XML
PubMed Links

Collection: 01-internacional Database: MEDLINE Main subject: Expert Systems / Image Interpretation, Computer-Assisted / Radiology Information Systems / Decision Support Systems, Clinical / Data Mining / Search Engine Type of study: Diagnostic_studies / Prognostic_studies Language: En Journal: Stud Health Technol Inform Journal subject: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Year: 2015 Document type: Article Affiliation country: Portugal Country of publication: Netherlands