Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Stavros Pitoglou"'
Autor:
Stavros Pitoglou, Arianna Filntisi, Athanasios Anastasiou, George K. Matsopoulos, Dimitrios Koutsouris
Publikováno v:
Frontiers in Digital Health, Vol 4 (2022)
IntroductionElectronic Health Records (EHRs) are essential data structures, enabling the sharing of valuable medical care information for a diverse patient population and being reused as input to predictive models for clinical research. However, issu
Externí odkaz:
https://doaj.org/article/9f7d0cb30dd04275b51341b668e92bd1
Autor:
Stavros Pitoglou, Arianna Filntisi, Athanasios Anastasiou, George K. Matsopoulos, Dimitrios Koutsouris
Publikováno v:
Applied Sciences, Vol 12, Iss 12, p 5942 (2022)
The object of this paper was the application of machine learning to a clinical dataset that was anonymized using the Mondrian algorithm. (1) Background: The preservation of patient privacy is a necessity rising from the increasing digitization of hea
Externí odkaz:
https://doaj.org/article/d9ce4bf215214c45a5991481cef880d1
Publikováno v:
Healthcare
Volume 11
Issue 5
Pages: 733
Volume 11
Issue 5
Pages: 733
During the outbreak of a disease caused by a pathogen with unknown characteristics, the uncertainty of its progression parameters can be reduced by devising methods that, based on rational assumptions, exploit available information to provide actiona
Publikováno v:
International Journal of Reliable and Quality E-Healthcare. 11:1-13
The paper presents the design approach of a low power stretchable wearable epidermal electronic device as part of an advanced athlete performance management framework to perform multi-parametric, multi-modal measurements of vital physiological parame
Autor:
Evgenia Parioti, Stavros Pitoglou, Arianna Filntisi, Athanasios Anastasiou, Ourania Petropoulou, Dimitris Dionisios Koutsouris
Publikováno v:
Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention ISBN: 9781668475447
3D imaging and 3D printing are two methods that have been proven very useful in medicine. The objective of 3D medical imaging is to recreate the static and functional anatomy of the inner body. The development of computational systems for image proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7556c6c61259297a525c8bd6482e1d05
https://doi.org/10.4018/978-1-6684-7544-7.ch082
https://doi.org/10.4018/978-1-6684-7544-7.ch082
Autor:
Athanasios Anastasiou, Dimitris Koutsouris, Arianna Filntisi, Evgenia Parioti, Stavros Pitoglou, Ourania Petropoulou
Publikováno v:
International Journal of Reliable and Quality E-Healthcare. 10:68-81
3D imaging and 3D printing are two methods that have been proven very useful in medicine. The objective of 3D medical imaging is to recreate the static and functional anatomy of the inner body. The development of computational systems for image proce
Autor:
Ourania Petropoulou, Panagiotis Katrakazas, Stavros Pitoglou, Michail Sarafidis, Marilena Tarousi, Ioannis Kouris, Dimitrios Koutsouris, Athanasios Anastasiou
Publikováno v:
International Journal of Reliable and Quality E-Healthcare. 8:36-46
The main objective of the article is to employ cloud computing technology in order to develop the decision support system of an integrated platform aimed to aid decision makers in natural disaster incidents. This specific platform refers to the most
Autor:
Michail, Sarafidis, Marilena, Tarousi, Athanasios, Anastasiou, Stavros, Pitoglou, Efstratios, Lampoukas, Athanasios, Spetsarias, George, Matsopoulos, Dimitrios, Koutsouris
Publikováno v:
Studies in health technology and informatics. 270
This paper discusses the topic of data quality, which concerns the global research and business community and constitutes a challenging task. The data quality prerequisite becomes even more critical when it pertains to critical and sensitive data, su
Background: During the outbreak of a disease caused by a pathogen with unknown characteristics, the uncertainty of its progression parameters can be reduced by devising methods that, based on rational assumptions, exploit available information in ord
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0daf80dd43629bae8afc943ffba530a0
https://doi.org/10.21203/rs.3.rs-18190/v1
https://doi.org/10.21203/rs.3.rs-18190/v1
Autor:
Dimitra Giannouli, Athanasios Anastasiou, Stavros Pitoglou, Georgios Matsopoulos, Thelma Androutsou, Dimitrios Koutsouris, Evaggelos Kostalas
Publikováno v:
EMBC
MODELHealth is a platform that aims to facilitate the implementation of Machine Learning (ML) techniques on medical data in order to upgrade the delivery of healthcare services. MODELHealth platform is a "holistic" approach to the implementation of p