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

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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]

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