Next Article in Journal
A Smart and Balanced Energy-Efficient Multihop Clustering Algorithm (Smart-BEEM) for MIMO IoT Systems in Future Networks
Next Article in Special Issue
Routing in Mobile Wireless Sensor Networks: A Leader-Based Approach
Previous Article in Journal
Early Diagnosis of Breast Cancer
Previous Article in Special Issue
An RFID-Based Smart Structure for the Supply Chain: Resilient Scanning Proofs and Ownership Transfer with Positive Secrecy Capacity Channels
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(7), 1570;

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

Department of Computer Technology, University of Alicante, Alicante 03690, Spain
Author to whom correspondence should be addressed.
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)
Full-Text   |   PDF [7797 KB, uploaded 5 July 2017]   |  


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

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top