Combining Semantic Web Technologies with Evolving Fuzzy Classifier eClass for EHR-Based Phenotyping: A Feasibility Study

Mercedes Argüello Casteleiro, Stavros Lekkas, Julio Des, Maria Jesus Fernandez Prieto, Ludmil Mikhailov. Combining Semantic Web Technologies with Evolving Fuzzy Classifier eClass for EHR-Based Phenotyping: A Feasibility Study. In Max Bramer, Miltos Petridis, editors, Research and Development in Intelligent Systems XXXI, Incorporating Applications and Innovations in Intelligent Systems XXII. Proceedings of AI-2014, The Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 9-11, 2014. pages 195-208, Springer, 2014. [doi]

@inproceedings{CasteleiroLDPM14,
  title = {Combining Semantic Web Technologies with Evolving Fuzzy Classifier eClass for EHR-Based Phenotyping: A Feasibility Study},
  author = {Mercedes Argüello Casteleiro and Stavros Lekkas and Julio Des and Maria Jesus Fernandez Prieto and Ludmil Mikhailov},
  year = {2014},
  doi = {10.1007/978-3-319-12069-0_15},
  url = {https://doi.org/10.1007/978-3-319-12069-0_15},
  researchr = {https://researchr.org/publication/CasteleiroLDPM14},
  cites = {0},
  citedby = {0},
  pages = {195-208},
  booktitle = {Research and Development in Intelligent Systems XXXI, Incorporating Applications and Innovations in Intelligent Systems XXII. Proceedings of AI-2014, The Thirty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 9-11, 2014},
  editor = {Max Bramer and Miltos Petridis},
  publisher = {Springer},
  isbn = {978-3-319-12069-0},
}