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Computational Intelligence in Security for Information Systems Conference

International Conference on EUropean Transnational Education

CISIS 2019, ICEUTE 2019: International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019) pp 141–152Cite as

Anomaly Detection on Patients Undergoing General Anesthesia

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 951))

Abstract

The importance of the infusion drug optimization in patients undergoing general anesthesia has led to the implementation of automatic control loops and models to predict the state of the patient. The appearance of any anomaly during the anesthetic process may lead, for instance, to incorrect drug administration. This could produce undesirable side effects that can affect the patient postoperative and also reduce the safety of the patient in the operating room. This study evaluates different one-class intelligent techniques to detect anomalies in patients undergoing general anesthesia. Due to the difficulty of obtaining data from anomaly situations, artificial outliers are generated to check the performance of each classifier. The final results give good performance in general terms.

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Acknowledgments

This research is partially supported through the “Fundación Canaria de Investigación Sanitaria” (FUNCANIS) [ref: PIFUN23/18].

Jose M. Gonzalez-Cava’s research was supported by the Spanish Ministry of Education, Culture and Sport (www.mecd.gob.es), under the “Formación de Profesorado” grant FPU15/03347.

Author information

Authors and Affiliations

  1. Department of Industrial Engineering, University of A Coruña, Avda. 19 de febrero s/n, 15405, Ferrol, A Coruña, Spain

    Esteban Jove, José-Luis Casteleiro-Roca, Héctor Quintián & José Luis Calvo-Rolle

  2. Department of Computer Science and System Engineering, Universidad de La Laguna, Avda. Astrof. Francisco Sánchez s/n, 38200, S/C de Tenerife, Spain

    Esteban Jove, Jose M. Gonzalez-Cava & Juan Albino Méndez-Pérez

Authors
  1. Esteban Jove
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  2. Jose M. Gonzalez-Cava
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  3. José-Luis Casteleiro-Roca
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  4. Héctor Quintián
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  5. Juan Albino Méndez-Pérez
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  6. José Luis Calvo-Rolle
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Corresponding author

Correspondence to Esteban Jove .

Editor information

Editors and Affiliations

  1. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  2. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  3. University of Salamanca, Salamanca, Spain

    José António Sáez Muñoz

  4. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Jove, E., Gonzalez-Cava, J.M., Casteleiro-Roca, JL., Quintián, H., Méndez-Pérez, J.A., Calvo-Rolle, J.L. (2020). Anomaly Detection on Patients Undergoing General Anesthesia. In: Martínez Álvarez, F., Troncoso Lora, A., Sáez Muñoz, J., Quintián, H., Corchado, E. (eds) International Joint Conference: 12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019). CISIS ICEUTE 2019 2019. Advances in Intelligent Systems and Computing, vol 951. Springer, Cham. https://doi.org/10.1007/978-3-030-20005-3_15

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