{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:13:30Z","timestamp":1760242410995,"version":"build-2065373602"},"reference-count":29,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2017,7,5]],"date-time":"2017-07-05T00:00:00Z","timestamp":1499212800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Crohn\u2019s disease is a chronic pathology belonging to the group of inflammatory bowel diseases. Patients suffering from Crohn\u2019s 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\u2019s patient, this proposal can help in the personalization of the Crohn\u2019s disease clinical process.<\/jats:p>","DOI":"10.3390\/s17071570","type":"journal-article","created":{"date-parts":[[2017,7,5]],"date-time":"2017-07-05T11:26:04Z","timestamp":1499253964000},"page":"1570","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Monitoring-Based Model for Personalizing the Clinical Process of Crohn\u2019s Disease"],"prefix":"10.3390","volume":"17","author":[{"given":"Alberto","family":"De Ram\u00f3n-Fern\u00e1ndez","sequence":"first","affiliation":[{"name":"Department of Computer Technology, University of Alicante, Alicante 03690, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8919-8863","authenticated-orcid":false,"given":"Daniel","family":"Ruiz-Fern\u00e1ndez","sequence":"additional","affiliation":[{"name":"Department of Computer Technology, University of Alicante, Alicante 03690, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6560-2067","authenticated-orcid":false,"given":"Diego","family":"Marcos-Jorquera","sequence":"additional","affiliation":[{"name":"Department of Computer Technology, University of Alicante, Alicante 03690, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7711-5357","authenticated-orcid":false,"given":"Virgilio","family":"Gilart-Iglesias","sequence":"additional","affiliation":[{"name":"Department of Computer Technology, University of Alicante, Alicante 03690, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5187-5689","authenticated-orcid":false,"given":"V\u00edctor","family":"Vives-Boix","sequence":"additional","affiliation":[{"name":"Department of Computer Technology, University of Alicante, Alicante 03690, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,7,5]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2017, June 30). 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