Inferring Knowledge from Clinical Data for Anesthesia Automation

  1. Gonzalez-Cava, Jose M. 1
  2. Iván Castilla-Rodríguez 1
  3. José Antonio Reboso 2
  4. Ana León 2
  5. Martín, María 2
  6. Esteban Jove-Pérez 13
  7. José Luis Calvo-Rolle 3
  8. Méndez-Pérez, Juan Albino 1
  1. 1 Universidad de La Laguna
    info
    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

    Geographic location of the organization Universidad de La Laguna
  2. 2 Hospital Universitario de Canarias
    info
    Hospital Universitario de Canarias

    San Cristóbal de La Laguna, España

    ROR https://ror.org/05qndj312

    Geographic location of the organization Hospital Universitario de Canarias
  3. 3 Universidade da Coruña
    info
    Universidade da Coruña

    La Coruña, España

    ROR https://ror.org/01qckj285

    Geographic location of the organization Universidade da Coruña
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Book:
Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings
  1. Hilde Pérez García (coord.)
  2. Lidia Sánchez González (coord.)
  3. Manuel Castejón Limas (coord.)
  4. Héctor Quintián Pardo (coord.)
  5. Emilio Corchado Rodríguez (coord.)

Publisher: Springer Suiza

ISBN: 978-3-030-29859-3,  978-3-030-29858-6

Year of publication: 2019

Pages: 480-491

Congress: Hybrid Artificial Intelligent Systems (14. 2019. León)

Type: Conference Paper

DOI: 10.1007/978-3-030-29859-3_41 SCOPUS: 2-s2.0-85072896934 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

info

SDG classification obtained using Aurora SDG artificial intelligence model.

Data source: Dialnet