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Sensors 2017, 17(7), 1570; https://doi.org/10.3390/s17071570

Monitoring-Based Model for Personalizing the Clinical Process of Crohn’s Disease

Department of Computer Technology, University of Alicante, Alicante 03690, Spain
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Received: 20 May 2017 / Revised: 24 June 2017 / Accepted: 30 June 2017 / Published: 5 July 2017
(This article belongs to the Special Issue Selected Papers from UCAmI 2016)
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Abstract

Crohn’s disease is a chronic pathology belonging to the group of inflammatory bowel diseases. Patients suffering from Crohn’s disease must be supervised by a medical specialist for the rest of their lives; furthermore, each patient has its own characteristics and is affected by the disease in a different way, so health recommendations and treatments cannot be generalized and should be individualized for a specific patient. To achieve this personalization in a cost-effective way using technology, we propose a model based on different information flows: control, personalization, and monitoring. As a result of the model and to perform a functional validation, an architecture based on services and a prototype of the system has been defined. In this prototype, a set of different devices and technologies to monitor variables from patients and their environment has been integrated. Artificial intelligence algorithms are also included to reduce the workload related to the review and analysis of the information gathered. Due to the continuous and automated monitoring of the Crohn’s patient, this proposal can help in the personalization of the Crohn’s disease clinical process. View Full-Text
Keywords: personalized health; health monitoring; artificial intelligence; Crohn’s disease personalized health; health monitoring; artificial intelligence; Crohn’s disease
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de Ramón-Fernández, A.; Ruiz-Fernández, D.; Marcos-Jorquera, D.; Gilart-Iglesias, V.; Vives-Boix, V. Monitoring-Based Model for Personalizing the Clinical Process of Crohn’s Disease. Sensors 2017, 17, 1570.

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