Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/21188
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dc.contributor.authorPires, Ivan Miguelen_US
dc.contributor.authorVitaliyivna Denysyuk, Hannaen_US
dc.contributor.authorVillasana, María Vanessaen_US
dc.contributor.authorSá, Julianaen_US
dc.contributor.authorLameski, Petreen_US
dc.contributor.authorChorbev, Ivanen_US
dc.contributor.authorZdravevski, Eftimen_US
dc.contributor.authorTrajkovik, Vladimiren_US
dc.contributor.authorMorgado, José Franciscoen_US
dc.contributor.authorGarcia, Nuno Men_US
dc.date.accessioned2022-07-19T08:41:21Z-
dc.date.available2022-07-19T08:41:21Z-
dc.date.issued2021-10-21-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/21188-
dc.description.abstractMedicine 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.en_US
dc.publisherMDPIen_US
dc.relation.ispartofSensorsen_US
dc.subject5P-Medicine; digital health; mobile bio-sensing for medicine; patient empowerment technologies; artificial intelligence; cardiovascular diseasesen_US
dc.titleMobile 5P-medicine approach for cardiovascular patientsen_US
dc.typeJournal Articleen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Journal Articles
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