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http://hdl.handle.net/20.500.12188/30416
Наслов: | Wearable and mobile data analysis methodologies for personalized medicine | Authors: | Pires, Ivan Miguel Dobre, Ciprian Zdravevski, Eftim Garcia, Nuno M |
Issue Date: | 20-сеп-2023 | Publisher: | Frontiers | Journal: | Frontiers in Digital Health | Abstract: | The Frontiers in Digital Health Research Topic Wearable and Mobile Data Analysis Methodologies for Personalized Medicine aimed to receive contributions related to the multidisciplinary field of personalized and precision medicine, which encompasses physics, statistics, telemedicine, biomedical engineering, digital signal processing, artificial intelligence, system engineering, and health privacy and security. Information and communication technologies have changed the landscape of many knowledge and societal areas, and medicine included. Bringing technology to the end users (or patients), a larger share of users can engage in personalized and precision therapies. Numerous and diverse pathologies can be monitored remotely, and as a consequence, better monitoring of health-related information may not only empower people but also hold the promise of aiding in the early detection of diseases. | URI: | http://hdl.handle.net/20.500.12188/30416 |
Appears in Collections: | Faculty of Computer Science and Engineering: Journal Articles |
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