Supporting Medical Decisions for Treating Rare Diseases Through Genetic Programming

• Published in: Applications of Evolutionary Computation Vol. 11454; pp. 187 - 203
• Main Authors: Bakurov, Illya, Castelli, Mauro, Vanneschi, Leonardo, Freitas, Maria João
• Format: Book Chapter Conference Proceeding
• Language: English
• Published: Switzerland Springer International Publishing AG 2019; Springer Verlag; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Computer Science(all); Genetic Programming; Geometric Semantic Genetic Programming; Medical decisions; Rare diseases; Theoretical Computer Science
• ISBN: 3030166910; 9783030166915
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-030-16692-2_13

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 Casa dos Marcos is the largest specialized medical and residential center for rare diseases in the Iberian Peninsula. The large number of patients and the uniqueness of their diseases demand a considerable amount of diverse and highly personalized therapies, that are nowadays largely managed manually. This paper aims at catering for the emergent need of efficient and effective artificial intelligence systems for the support of the everyday activities of centers like Casa dos Marcos. We present six predictive data models developed with a genetic programming based system which, integrated into a web-application, enabled data-driven support for the therapists in Casa dos Marcos. The presented results clearly indicate the usefulness of the system in assisting complex therapeutic procedures for children suffering from rare diseases.