• DOI:10.1109/IC3INA.2013.6819185
Corpus ID: 12131667

Weighted Ontology and weighted tree similarity algorithm for diagnosing Diabetes Mellitus

@article{Hayuhardhika2013WeightedOA,
  title={Weighted Ontology and weighted tree similarity algorithm for diagnosing Diabetes Mellitus},
  author={Widhy Hayuhardhika and N. Putra and Sugiyanto and R. Sarno and M. Sidiq},
  journal={2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA)},
  year={2013},
  pages={267-272}
}

Widhy Hayuhardhika, N. Putra, +2 authors M. Sidiq

Published 2013

Computer Science

2013 International Conference on Computer, Control, Informatics and Its Applications (IC3INA)

Application knowledge base for diabetes such as expert systems has been developed, but generally using conventional methods that have limitations in representing knowledge. [...] Key Method This system receives input patient data from user. Then, system will build the patient ontology to represent patient knowledge. We are connecting Java applications to Protégé using OWL API. Then, system will calculate the weight of an ontology based on density.Expand Abstract

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