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Mobile 5P-Medicine Approach for Cardiovascular Patients

Pires, I.M.P. ; Denysyuk, H. ; Villasana, M. ; Sá, J. ; Lameski, P. ; Chorbev, I.C. ; Zdravevski, E. ; Trajkovik, V. ; Morgado, J. ; Garcia, N. M.

Sensors Vol. 21, Nº 21, pp. 6986 - 6986, October, 2021.

ISSN (print): 1424-3210
ISSN (online): 1424-8220

Scimago Journal Ranking: 0,80 (in 2021)

Digital Object Identifier: 10.3390/s21216986

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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.