Agent-Based Simulators for Empowering Patients in Self-Care Programs Using Mobile Agents with Machine Learning

E-health sustainable systems can be optimized by empowering patients in self-care programs through artificial intelligence ecosystems in which both doctors and patients interact in an agile way. This work proposes agent-based simulators as a mechanism for predicting the repercussions of certain self...

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Autores principales:	Swarn Avinash Kumar, Iván García-Magariño, Moustafa M. Nasralla, Shah Nazir
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/733a62ec26fc48059d74ba71df53d495
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spelling	oai:doaj.org-article:733a62ec26fc48059d74ba71df53d4952021-11-22T01:11:06ZAgent-Based Simulators for Empowering Patients in Self-Care Programs Using Mobile Agents with Machine Learning1875-905X10.1155/2021/5909281https://doaj.org/article/733a62ec26fc48059d74ba71df53d4952021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5909281https://doaj.org/toc/1875-905XE-health sustainable systems can be optimized by empowering patients in self-care programs through artificial intelligence ecosystems in which both doctors and patients interact in an agile way. This work proposes agent-based simulators as a mechanism for predicting the repercussions of certain self-care programs in certain patients for finding the most appropriate ones. In order to make this easy for both doctors and patients, mobile agents are used to configure an app for each patient, and this app provides the resources to each self-care program. Mobile agents include a machine-learning module for learning which programs are the most appropriate for each patient. This approach is illustrated with two agent-based simulators for respectively reducing negative emotions such as depression and controlling heart rate variability extreme values related to stress. The resulting app was evaluated with a group of users with the Usefulness, Satisfaction and Ease of use (USE) scale and obtained 73% in usefulness, 77% in satisfaction, and 68% in ease of use. This trial is registered with According to the recommendations of the International Committee of Medical Journal Editors (ICMJE), this manuscript states that all experiments have been approved with the ethical committee CEICA from Community of Aragon (Spain) with registration number C.I.PI18/099.Swarn Avinash KumarIván García-MagariñoMoustafa M. NasrallaShah NazirHindawi LimitedarticleTelecommunicationTK5101-6720ENMobile Information Systems, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Telecommunication TK5101-6720
spellingShingle	Telecommunication TK5101-6720 Swarn Avinash Kumar Iván García-Magariño Moustafa M. Nasralla Shah Nazir Agent-Based Simulators for Empowering Patients in Self-Care Programs Using Mobile Agents with Machine Learning
description	E-health sustainable systems can be optimized by empowering patients in self-care programs through artificial intelligence ecosystems in which both doctors and patients interact in an agile way. This work proposes agent-based simulators as a mechanism for predicting the repercussions of certain self-care programs in certain patients for finding the most appropriate ones. In order to make this easy for both doctors and patients, mobile agents are used to configure an app for each patient, and this app provides the resources to each self-care program. Mobile agents include a machine-learning module for learning which programs are the most appropriate for each patient. This approach is illustrated with two agent-based simulators for respectively reducing negative emotions such as depression and controlling heart rate variability extreme values related to stress. The resulting app was evaluated with a group of users with the Usefulness, Satisfaction and Ease of use (USE) scale and obtained 73% in usefulness, 77% in satisfaction, and 68% in ease of use. This trial is registered with According to the recommendations of the International Committee of Medical Journal Editors (ICMJE), this manuscript states that all experiments have been approved with the ethical committee CEICA from Community of Aragon (Spain) with registration number C.I.PI18/099.
format	article
author	Swarn Avinash Kumar Iván García-Magariño Moustafa M. Nasralla Shah Nazir
author_facet	Swarn Avinash Kumar Iván García-Magariño Moustafa M. Nasralla Shah Nazir
author_sort	Swarn Avinash Kumar
title	Agent-Based Simulators for Empowering Patients in Self-Care Programs Using Mobile Agents with Machine Learning
title_short	Agent-Based Simulators for Empowering Patients in Self-Care Programs Using Mobile Agents with Machine Learning
title_full	Agent-Based Simulators for Empowering Patients in Self-Care Programs Using Mobile Agents with Machine Learning
title_fullStr	Agent-Based Simulators for Empowering Patients in Self-Care Programs Using Mobile Agents with Machine Learning
title_full_unstemmed	Agent-Based Simulators for Empowering Patients in Self-Care Programs Using Mobile Agents with Machine Learning
title_sort	agent-based simulators for empowering patients in self-care programs using mobile agents with machine learning
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/733a62ec26fc48059d74ba71df53d495
work_keys_str_mv	AT swarnavinashkumar agentbasedsimulatorsforempoweringpatientsinselfcareprogramsusingmobileagentswithmachinelearning AT ivangarciamagarino agentbasedsimulatorsforempoweringpatientsinselfcareprogramsusingmobileagentswithmachinelearning AT moustafamnasralla agentbasedsimulatorsforempoweringpatientsinselfcareprogramsusingmobileagentswithmachinelearning AT shahnazir agentbasedsimulatorsforempoweringpatientsinselfcareprogramsusingmobileagentswithmachinelearning
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Agent-Based Simulators for Empowering Patients in Self-Care Programs Using Mobile Agents with Machine Learning

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