Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Laszlo Balkanyi"'
Autor:
Antal Zemplényi, Konstantin Tachkov, Laszlo Balkanyi, Bertalan Németh, Zsuzsanna Ida Petykó, Guenka Petrova, Marcin Czech, Dalia Dawoud, Wim Goettsch, Inaki Gutierrez Ibarluzea, Rok Hren, Saskia Knies, László Lorenzovici, Zorana Maravic, Oresta Piniazhko, Alexandra Savova, Manoela Manova, Tomas Tesar, Spela Zerovnik, Zoltán Kaló
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
BackgroundArtificial intelligence (AI) has attracted much attention because of its enormous potential in healthcare, but uptake has been slow. There are substantial barriers that challenge health technology assessment (HTA) professionals to use AI-ge
Externí odkaz:
https://doaj.org/article/5ea38b6b6fdb4470a15843849d12de56
Autor:
Bertalan Nemeth, Maria Kamusheva, Zornitsa Mitkova, Zsuzsanna Ida Petyko, Antal Zemplenyi, Maria Dimitrova, Konstantin Tachkov, Laszlo Balkanyi, Marcin Czech, Dalia Dawoud, Wim Goettsch, Rok Hren, Saskia Knies, Laszlo Lorenzovici, Zorana Maravic, Oresta Piniazhko, Spela Zerovnik, Zoltan Kalo
Publikováno v:
Journal of Comparative Effectiveness Research, Vol 12, Iss 4 (2023)
Aim: Real-world data and real-world evidence (RWE) are becoming more important for healthcare decision making and health technology assessment. We aimed to propose solutions to overcome barriers preventing Central and Eastern European (CEE) countri
Externí odkaz:
https://doaj.org/article/23193f0bd792438ebf294449458618b6
Autor:
Jan C. Semenza, Elisabet Lindgren, Laszlo Balkanyi, Laura Espinosa, My S. Almqvist, Pasi Penttinen, Joacim Rocklöv
Publikováno v:
Emerging Infectious Diseases, Vol 22, Iss 4, Pp 581-589 (2016)
Infectious disease threat events (IDTEs) are increasing in frequency worldwide. We analyzed underlying drivers of 116 IDTEs detected in Europe during 2008–2013 by epidemic intelligence at the European Centre of Disease Prevention and Control. Seven
Externí odkaz:
https://doaj.org/article/cfb083c08a2049d582124ebae0c8ac22
Publikováno v:
Healthcare Informatics Research, Vol 19, Iss 4, Pp 235-242 (2013)
ObjectivesThis work aims at uncovering challenges in biomedical knowledge representation research by providing an understanding of what was historically called "medical concept representation" and used as the name for a working group of the Internati
Externí odkaz:
https://doaj.org/article/1a1e3c63e80c463fbea0f62fb1867796
Publikováno v:
Yearbook of Medical Informatics. 30:245-256
Objectives: The study aims at understanding the structural characteristics and content features of COVID-19 literature and public health data from the perspective of the ‘Language and Meaning in Biomedicine’ Working Group (LaMB WG) of IMIA. The L
The Interplay of Knowledge Representation with Various Fields of Artificial Intelligence in Medicine
Autor:
Laszlo Balkanyi, Ronald Cornet
Publikováno v:
Yearbook of Medical Informatics. 28:027-034
Introduction: Artificial intelligence (AI) is widespread in many areas, including medicine. However, it is unclear what exactly AI encompasses. This paper aims to provide an improved understanding of medical AI and its constituent fields, and their i
Autor:
Pasi Penttinen, Joacim Rocklöv, Jan C. Semenza, Laszlo Balkanyi, Laura Espinosa, My S. Almqvist, Elisabet Lindgren
Publikováno v:
Emerging Infectious Diseases, Vol 22, Iss 4, Pp 581-589 (2016)
Emerging Infectious Diseases
Emerging Infectious Diseases
Globalization and environment, the most frequent underlying drivers, should be targeted for interventions to prevent such events.
Infectious disease threat events (IDTEs) are increasing in frequency worldwide. We analyzed underlying drivers of 1
Infectious disease threat events (IDTEs) are increasing in frequency worldwide. We analyzed underlying drivers of 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::396a0c381a77d2ab3fcd12a5161fef4b
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-119636
http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-119636
Publikováno v:
Studies in health technology and informatics. 197
Extracting scientifically accurate terminology from an EU public health regulation is part of the knowledge engineering work at the European Centre for Disease Prevention and Control (ECDC). ECDC operates information systems at the crossroads of many
Autor:
Laszlo Balkanyi, György Surján
Publikováno v:
Medical Informatics. 18:339-346
Despite the importance of quantitative analysis of medical information, it is a rare subject in informatics literature [1, 2]. To stimulate more interest the authors propose a multidimensional medical information space, in which measures can be defin
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783642117442
eHealth
eHealth
This paper describes the process of building terminology service and using domain ontology as its conceptual backbone for a European Union agency. ECDC, established in 2005, aims at strengthening Europe’s defences against infectious diseases, opera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6767347438d546de63135b418c6a337a
https://doi.org/10.1007/978-3-642-11745-9_19
https://doi.org/10.1007/978-3-642-11745-9_19