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International Work-Conference on the Interplay Between Natural and Artificial Computation

IWINAC 2017: Biomedical Applications Based on Natural and Artificial Computing pp 435–443Cite as

A Knowledge-Based Clinical Decision Support System for Monitoring Chronic Patients

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10338))

Abstract

Monitoring chronic patients represent one of the main challenges in healthcare and information technologies. Knowledge-based and decision support systems seek to facilitate the adherence of physicians to treatments and guidelines, while improving self-management and empowerment of patients. In this work, a knowledge-based clinical decision support system is proposed for monitoring chronic patients, whose knowledge is given beforehand by human experts in the domain application.

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Acknowledgements

This work has been granted by the Ministerio de Economía y Competitividad of the Spanish Government (ref. TIN2014-53067-C3-1-R) and cofinanced by FEDER (Fondo Europeo de Desarrollo Regional).

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Authors and Affiliations

  1. Department of Computer Technology, University of Alicante, Alicante, Spain

    Víctor Vives-Boix, Daniel Ruiz-Fernández, Alberto de Ramón-Fernández, Diego Marcos-Jorquera & Virgilio Gilart-Iglesias

Authors
  1. Víctor Vives-Boix
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  2. Daniel Ruiz-Fernández
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  3. Alberto de Ramón-Fernández
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  4. Diego Marcos-Jorquera
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  5. Virgilio Gilart-Iglesias
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Corresponding author

Correspondence to Víctor Vives-Boix .

Editor information

Editors and Affiliations

  1. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    Félix de la Paz López

  4. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    Javier Toledo Moreo

  5. The Ohio State University, Columbus, Ohio, USA

    Hojjat Adeli

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Vives-Boix, V., Ruiz-Fernández, D., de Ramón-Fernández, A., Marcos-Jorquera, D., Gilart-Iglesias, V. (2017). A Knowledge-Based Clinical Decision Support System for Monitoring Chronic Patients. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science(), vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_44

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  • DOI: https://doi.org/10.1007/978-3-319-59773-7_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59772-0

  • Online ISBN: 978-3-319-59773-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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