Supporting medical decisions for treating rare diseases through genetic programming

Bakurov, I., Castelli, M., Vanneschi, L., & Freitas, M. J. (2019). Supporting medical decisions for treating rare diseases through genetic programming. In P. Kaufmann, & P. A. Castillo (Eds.), Applications of Evolutionary Computation: 22nd International Conference, EvoApplications 2019, Held...

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Detalhes bibliográficos
Autor principal: Bakurov, Illya (author)
Outros Autores: Castelli, Mauro (author), Vanneschi, Leonardo (author), Freitas, Maria João (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2020
Assuntos:
Genetic Programming
Geometric Semantic Genetic Programming
Medical decisions
Rare diseases
Theoretical Computer Science
Computer Science(all)
SDG 3 - Good Health and Well-being
Texto completo:http://hdl.handle.net/10362/91519
País:Portugal
Oai:oai:run.unl.pt:10362/91519
Descrição
Resumo:Bakurov, I., Castelli, M., Vanneschi, L., & Freitas, M. J. (2019). Supporting medical decisions for treating rare diseases through genetic programming. In P. Kaufmann, & P. A. Castillo (Eds.), Applications of Evolutionary Computation: 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings (pp. 187-203). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11454 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-030-16692-2_13. ISBN: 978-3-030-16691-5; Online ISBN: 978-3-030-16692-2

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