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Mobile 5P-Medicine Approach for Cardiovascular Patients

Medicine is heading towards personalized care based on individual situations and conditions. With smartphones and increasingly miniaturized wearable devices, the sensors available on these devices can perform long-term continuous monitoring of several user health-related parameters, making them a po...

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Autores principales: Pires, Ivan Miguel, Denysyuk, Hanna Vitaliyivna, Villasana, María Vanessa, Sá, Juliana, Lameski, Petre, Chorbev, Ivan, Zdravevski, Eftim, Trajkovik, Vladimir, Morgado, José Francisco, Garcia, Nuno M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587644/
https://www.ncbi.nlm.nih.gov/pubmed/34770292
http://dx.doi.org/10.3390/s21216986
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author Pires, Ivan Miguel
Denysyuk, Hanna Vitaliyivna
Villasana, María Vanessa
Sá, Juliana
Lameski, Petre
Chorbev, Ivan
Zdravevski, Eftim
Trajkovik, Vladimir
Morgado, José Francisco
Garcia, Nuno M.
author_facet Pires, Ivan Miguel
Denysyuk, Hanna Vitaliyivna
Villasana, María Vanessa
Sá, Juliana
Lameski, Petre
Chorbev, Ivan
Zdravevski, Eftim
Trajkovik, Vladimir
Morgado, José Francisco
Garcia, Nuno M.
author_sort Pires, Ivan Miguel
collection PubMed
description Medicine is heading towards personalized care based on individual situations and conditions. With smartphones and increasingly miniaturized wearable devices, the sensors available on these devices can perform long-term continuous monitoring of several user health-related parameters, making them a powerful tool for a new medicine approach for these patients. Our proposed system, described in this article, aims to develop innovative solutions based on artificial intelligence techniques to empower patients with cardiovascular disease. These solutions will realize a novel 5P (Predictive, Preventive, Participatory, Personalized, and Precision) medicine approach by providing patients with personalized plans for treatment and increasing their ability for self-monitoring. Such capabilities will be derived by learning algorithms from physiological data and behavioral information, collected using wearables and smart devices worn by patients with health conditions. Further, developing an innovative system of smart algorithms will also focus on providing monitoring techniques, predicting extreme events, generating alarms with varying health parameters, and offering opportunities to maintain active engagement of patients in the healthcare process by promoting the adoption of healthy behaviors and well-being outcomes. The multiple features of this future system will increase the quality of life for cardiovascular diseases patients and provide seamless contact with a healthcare professional.
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spelling pubmed-85876442021-11-13 Mobile 5P-Medicine Approach for Cardiovascular Patients Pires, Ivan Miguel Denysyuk, Hanna Vitaliyivna Villasana, María Vanessa Sá, Juliana Lameski, Petre Chorbev, Ivan Zdravevski, Eftim Trajkovik, Vladimir Morgado, José Francisco Garcia, Nuno M. Sensors (Basel) Study Protocol Medicine is heading towards personalized care based on individual situations and conditions. With smartphones and increasingly miniaturized wearable devices, the sensors available on these devices can perform long-term continuous monitoring of several user health-related parameters, making them a powerful tool for a new medicine approach for these patients. Our proposed system, described in this article, aims to develop innovative solutions based on artificial intelligence techniques to empower patients with cardiovascular disease. These solutions will realize a novel 5P (Predictive, Preventive, Participatory, Personalized, and Precision) medicine approach by providing patients with personalized plans for treatment and increasing their ability for self-monitoring. Such capabilities will be derived by learning algorithms from physiological data and behavioral information, collected using wearables and smart devices worn by patients with health conditions. Further, developing an innovative system of smart algorithms will also focus on providing monitoring techniques, predicting extreme events, generating alarms with varying health parameters, and offering opportunities to maintain active engagement of patients in the healthcare process by promoting the adoption of healthy behaviors and well-being outcomes. The multiple features of this future system will increase the quality of life for cardiovascular diseases patients and provide seamless contact with a healthcare professional. MDPI 2021-10-21 /pmc/articles/PMC8587644/ /pubmed/34770292 http://dx.doi.org/10.3390/s21216986 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Study Protocol
Pires, Ivan Miguel
Denysyuk, Hanna Vitaliyivna
Villasana, María Vanessa
Sá, Juliana
Lameski, Petre
Chorbev, Ivan
Zdravevski, Eftim
Trajkovik, Vladimir
Morgado, José Francisco
Garcia, Nuno M.
Mobile 5P-Medicine Approach for Cardiovascular Patients
title Mobile 5P-Medicine Approach for Cardiovascular Patients
title_full Mobile 5P-Medicine Approach for Cardiovascular Patients
title_fullStr Mobile 5P-Medicine Approach for Cardiovascular Patients
title_full_unstemmed Mobile 5P-Medicine Approach for Cardiovascular Patients
title_short Mobile 5P-Medicine Approach for Cardiovascular Patients
title_sort mobile 5p-medicine approach for cardiovascular patients
topic Study Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587644/
https://www.ncbi.nlm.nih.gov/pubmed/34770292
http://dx.doi.org/10.3390/s21216986
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