Supporting medical decisions for treating rare diseases through genetic programming

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationApplications of Evolutionary Computation
Subtitle of host publication22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings
EditorsPaul Kaufmann, Pedro A. Castillo
PublisherSpringer Verlag
Pages187-203
Number of pages17
ISBN (Electronic)978-3-030-16692-2
ISBN (Print)978-3-030-16691-5
DOIs
Publication statusPublished - 1 Jan 2019
Event22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held as Part of EvoStar 2019 - Leipzig, Germany
Duration: 24 Apr 201926 Apr 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11454 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held as Part of EvoStar 2019
CountryGermany
CityLeipzig
Period24/04/1926/04/19

Fingerprint

Genetic programming
Genetic Programming
Predictive Model
Integrated System
Web Application
Data-driven
Data Model
Therapy
Artificial intelligence
Data structures
Artificial Intelligence
Uniqueness

Keywords

  • Genetic Programming
  • Geometric Semantic Genetic Programming
  • Medical decisions
  • Rare diseases

Cite this

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
Bakurov, Illya ; Castelli, Mauro ; Vanneschi, Leonardo ; Freitas, Maria João. / Supporting medical decisions for treating rare diseases through genetic programming. Applications of Evolutionary Computation: 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings. editor / Paul Kaufmann ; Pedro A. Castillo. Springer Verlag, 2019. pp. 187-203 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{c70947d4e82a4ad493334e2948c04f91,
title = "Supporting medical decisions for treating rare diseases through genetic programming",
abstract = "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.",
keywords = "Genetic Programming, Geometric Semantic Genetic Programming, Medical decisions, Rare diseases",
author = "Illya Bakurov and Mauro Castelli and Leonardo Vanneschi and Freitas, {Maria Jo{\~a}o}",
note = "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",
year = "2019",
month = "1",
day = "1",
doi = "10.1007/978-3-030-16692-2_13",
language = "English",
isbn = "978-3-030-16691-5",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "187--203",
editor = "Paul Kaufmann and Castillo, {Pedro A.}",
booktitle = "Applications of Evolutionary Computation",
address = "Germany",

}

Bakurov, I, Castelli, M, Vanneschi, L & Freitas, MJ 2019, Supporting medical decisions for treating rare diseases through genetic programming. in P Kaufmann & PA Castillo (eds), Applications of Evolutionary Computation: 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11454 LNCS, Springer Verlag, pp. 187-203, 22nd International Conference on Applications of Evolutionary Computation, EvoApplications 2019, held as Part of EvoStar 2019, Leipzig, Germany, 24/04/19. https://doi.org/10.1007/978-3-030-16692-2_13

Supporting medical decisions for treating rare diseases through genetic programming. / Bakurov, Illya; Castelli, Mauro; Vanneschi, Leonardo; Freitas, Maria João.

Applications of Evolutionary Computation: 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings. ed. / Paul Kaufmann; Pedro A. Castillo. Springer Verlag, 2019. p. 187-203 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11454 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Supporting medical decisions for treating rare diseases through genetic programming

AU - Bakurov, Illya

AU - Castelli, Mauro

AU - Vanneschi, Leonardo

AU - Freitas, Maria João

N1 - 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

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Genetic Programming

KW - Geometric Semantic Genetic Programming

KW - Medical decisions

KW - Rare diseases

UR - http://www.scopus.com/inward/record.url?scp=85065700597&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-16692-2_13

DO - 10.1007/978-3-030-16692-2_13

M3 - Conference contribution

SN - 978-3-030-16691-5

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 187

EP - 203

BT - Applications of Evolutionary Computation

A2 - Kaufmann, Paul

A2 - Castillo, Pedro A.

PB - Springer Verlag

ER -

Bakurov I, Castelli M, Vanneschi L, Freitas MJ. Supporting medical decisions for treating rare diseases through genetic programming. In Kaufmann P, Castillo PA, editors, Applications of Evolutionary Computation: 22nd International Conference, EvoApplications 2019, Held as Part of EvoStar 2019, Proceedings. Springer Verlag. 2019. p. 187-203. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-16692-2_13