Abstract
Hypertension is a common and dangerous condition, which is the most important preventable cause of stroke and heart disease. Long-term conditions result in a reduced quality of life that can be improved through self-management and empowerment of patients using information technologies. Current support systems include self-management and empowerment in patients, but both features are not personalised in terms of patient preferences and decision-making. In this work an adaptive genetic algorithm is proposed for personalised support systems in hypertensive patients by including patient blood pressure data in the generational replacement step of evolutionary computing.
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Acknowledgments
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.
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Vives-Boix, V., Ruiz-Fernández, D., Soriano-Payá, A., Marcos-Jorquera, D., Gilart-Iglesias, V., de Ramón-Fernández, A. (2016). Personalised Support System for Hypertensive Patients Based on Genetic Algorithms. In: García, C., Caballero-Gil, P., Burmester, M., Quesada-Arencibia, A. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2016. Lecture Notes in Computer Science(), vol 10069. Springer, Cham. https://doi.org/10.1007/978-3-319-48746-5_7
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DOI: https://doi.org/10.1007/978-3-319-48746-5_7
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