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

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.

Model for the Detection of Falls with the Use of Artificial Intelligence as an Assistant for the Care of the Elderly

“…This device called Angel4 registers a fall, makes an emergency call, and sends text messages indicating the situation and GPS location of the person. Another device with a similar function is the one proposed by [15], This device is governed by an expert system that analyzes the data conditions and determines if the event has been generated If the event is positive, the expert system warns of the fall using a telephone connection.…”