AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2023

Su, Qiqi; Peretokin, Vadim; Basdekis, Ioannis; Kouris, Ioannis; Maggesi, Jonatan; Sicuranza, Mario; Acebes, Alberto; Bucur, Anca; Mukkala, Vinod Jaswanth Roy; Pozdniakov, Konstantin; Kloukinas, Christos; Koutsouris, Dimitrios D.; Iliadou, Elefteria; Leontsinis, Ioannis; Gallo, Luigi; Pietro, Giuseppe De; Spanoudakis, George

The SMART BEAR Project: An Overview of Its Infrastructure Proceedings Article

In: Maciaszek, Leszek A.; Mulvenna, Maurice D.; Ziefle, Martina (Ed.): Information and Communication Technologies for Ageing Well and E-Health, pp. 408–425, Springer Nature Switzerland, Cham, 2023, ISBN: 978-3-031-37496-8.

Abstract | Links | BibTeX | Tags: Ageing, AI, Balance Disorder, Cardiovascular Disease, Cloud, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Semantic interoperability

@inproceedings{suSMARTBEARProject2023,

title = {The SMART BEAR Project: An Overview of Its Infrastructure},

author = {Qiqi Su and Vadim Peretokin and Ioannis Basdekis and Ioannis Kouris and Jonatan Maggesi and Mario Sicuranza and Alberto Acebes and Anca Bucur and Vinod Jaswanth Roy Mukkala and Konstantin Pozdniakov and Christos Kloukinas and Dimitrios D. Koutsouris and Elefteria Iliadou and Ioannis Leontsinis and Luigi Gallo and Giuseppe De Pietro and George Spanoudakis},

editor = { Leszek A. Maciaszek and Maurice D. Mulvenna and Martina Ziefle},

url = {https://link.springer.com/chapter/10.1007/978-3-031-37496-8_21},

doi = {10.1007/978-3-031-37496-8_21},

isbn = {978-3-031-37496-8},

year  = {2023},

date = {2023-07-14},

urldate = {2023-01-01},

booktitle = {Information and Communication Technologies for Ageing Well and E-Health},

pages = {408–425},

publisher = {Springer Nature Switzerland},

address = {Cham},

series = {Communications in Computer and Information Science},

abstract = {The paper describes a cloud-based platform that utilizes Artificial Intelligence (AI) and Explainable AI techniques to deliver evidence-based, personalized interventions to individuals over 65 suffering or at risk of hearing loss, cardiovascular disease, cognitive impairments, balance disorders, or mental health issues, while supporting efficient remote monitoring and clinician-driven guidance. As part of the SMART BEAR integrated project, this platform has been developed to support its large-scale clinical trials. The platform consists of a standards-based data harmonization and management layer, as well as a security component, a Big Data Analytics system, a Clinical Decision Support system, and a dashboard component to facilitate efficient data collection across pilot sites.},

keywords = {Ageing, AI, Balance Disorder, Cardiovascular Disease, Cloud, Evidence-based, GDPR, Healthcare, Hearing Loss, HL7 FHIR, Semantic interoperability},

pubstate = {published},

tppubtype = {inproceedings}

}