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Modelling the longevity of dental restorations by means of a CBR system.
Aliaga, Ignacio J; Vera, Vicente; De Paz, Juan F; García, Alvaro E; Mohamad, Mohd Saberi.
Affiliation
  • Aliaga IJ; Department of Conservative Dentistry, Complutense University of Madrid, Plaza Ramón y Cajal, s/n, 28040 Madrid, Spain.
  • Vera V; Department of Conservative Dentistry, Complutense University of Madrid, Plaza Ramón y Cajal, s/n, 28040 Madrid, Spain.
  • De Paz JF; Department of Computer Science and Automation, University of Salamanca, Plaza de la Merced, s/n, 37008 Salamanca, Spain.
  • García AE; Department of Conservative Dentistry, Complutense University of Madrid, Plaza Ramón y Cajal, s/n, 28040 Madrid, Spain.
  • Mohamad MS; Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia (UTM), 81310 Skudai, Johor, Malaysia.
Biomed Res Int ; 2015: 540306, 2015.
Article in En | MEDLINE | ID: mdl-25866792
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Dental Restoration, Permanent / Models, Biological Type of study: Prognostic_studies Limits: Humans Language: En Journal: Biomed Res Int Year: 2015 Document type: Article Affiliation country: Spain Country of publication: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Dental Restoration, Permanent / Models, Biological Type of study: Prognostic_studies Limits: Humans Language: En Journal: Biomed Res Int Year: 2015 Document type: Article Affiliation country: Spain Country of publication: United States