RT info:eu-repo/semantics/article
T1 Telemonitoring system for infectious disease prediction in elderly people based on a novel microservice architecture
A1 Castillo Sequera, José Luis
A1 Calderón Gómez, Huriviades
A1 Mendoza Pittí, Luis
A1 Vargas Lombardo, Miguel
A1 Gómez Pulido, José Manuel
A1 Sanz Moreno, José
A1 Sención, Gloria
K1 Artificial intelligence
K1 e-Health
K1 Elderly people
K1 Infectious diseases
K1 Microservice architecture
K1 Microservices
K1 Telemonitoring
K1 Informática
K1 Computer science
K1 Medicina
K1 Medicine
AB This article describes the design, development and implementation of a set of microservices based on an architecture that enables detection and assisted clinical diagnosis within the field of infectious diseases of elderly patients, via a telemonitoring system. The proposed system is designed to continuously update a medical database fed with vital signs from biosensor kits applied by nurses to elderly people on a daily basis. The database is hosted in the cloud and is managed by a flexible microservices software architecture. The computational paradigms of the edge and the cloud were used in the implementation of a hybrid cloud architecture in order to support versatile high-performance applications under the microservices pattern for the pre-diagnosis of infectious diseases in elderly patients. The results of an analysis of the usability of the equipment, the performance of the architecture and the service concept show that the proposed e-health system is feasible and innovative. The system components are also selected to give a cost-effective implementation for people living in disadvantaged areas. The proposed e-health system is also suitable for distributed computing, big data and NoSQL structures, thus allowing the immediate application of machine learning and AI algorithms to discover knowledge patterns from the overall population.
PB IEEE
SN 2169-3536
YR 2020
FD 2020-06-29
LK http://hdl.handle.net/10017/43609
UL http://hdl.handle.net/10017/43609
LA eng
NO European Commission
DS MINDS@UW
RD 23-abr-2024