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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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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