Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ewoud Pons"'
Autor:
Romy R. de Haan, Johannes B.R. Visser, Ewoud Pons, Richard A. Feelders, Uzay Kaymak, M.G. Myriam Hunink, Jacob J. Visser
Publikováno v:
European Journal of Radiology Open, Vol 4, Iss , Pp 108-114 (2017)
Purpose: : To develop a clinical prediction model to predict a clinically relevant adrenal disorder for patients with adrenal incidentaloma. Materials and methods: : This retrospective study is approved by the institutional review board, with waiver
Externí odkaz:
https://doaj.org/article/7062a610de4a4955967cfa1a0b9cdc28
Autor:
Richard A Feelders, M. G. Myriam Hunink, Romy R. de Haan, Uzay Kaymak, Ewoud Pons, Jacob J. Visser, Johannes Visser
Publikováno v:
European Journal of Radiology Open, Vol 4, Iss, Pp 108-114 (2017)
European Journal of Radiology Open, 4, 108-114. Elsevier Ltd.
European Journal of Radiology Open
European Journal of Radiology Open, 4, 108-114. Elsevier Ltd.
European Journal of Radiology Open
Purpose: : To develop a clinical prediction model to predict a clinically relevant adrenal disorder for patients with adrenal incidentaloma. Materials and methods: : This retrospective study is approved by the institutional review board, with waiver
Publikováno v:
European Radiology, 29(5), 2632-2640. Springer-Verlag
European Radiology
European Radiology
Objectives We investigated the impact of clinical guidelines for the management of minor head injury on utilization and diagnostic yield of head CT over two decades. Methods Retrospective before-after study using multiple electronic health record dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82aa26075f3f919dc70b83b52c8b77cf
https://pure.eur.nl/en/publications/6bbc40c7-45d2-41f4-bd4f-2d74f0558de3
https://pure.eur.nl/en/publications/6bbc40c7-45d2-41f4-bd4f-2d74f0558de3
Publikováno v:
Radiology, 279(2), 329-343. Radiological Society of North America Inc.
Radiological reporting has generated large quantities of digital content within the electronic health record, which is potentially a valuable source of information for improving clinical care and supporting research. Although radiology reports are st
Autor:
Herman H. H. B. M. van Haagen, Benedikt F.H. Becker, Zubair Afzal, Saber A. Akhondi, Ewoud Pons, Kristina Hettne, Jan A. Kors, Erik M. van Mulligen
Publikováno v:
Database-the Journal of Biological Databases and Curation. Oxford University Press
Database : the Journal of Biological Databases and Curation, 2016, baw061. OXFORD UNIV PRESS
Database: The Journal of Biological Databases and Curation
Database
Database : the Journal of Biological Databases and Curation, 2016, baw061. OXFORD UNIV PRESS
Database: The Journal of Biological Databases and Curation
Database
We describe the development of a chemical entity recognition system and its application in the CHEMDNER-patent track of BioCreative 2015. This community challenge includes a Chemical Entity Mention in Patents (CEMP) recognition task and a Chemical Pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90ce34db5ff3a0599e12a70f338a4cb5
https://pure.eur.nl/en/publications/5b7c07d2-168f-4a86-b325-72215d965009
https://pure.eur.nl/en/publications/5b7c07d2-168f-4a86-b325-72215d965009
Autor:
Zubair Afzal, Saber A. Akhondi, Jan A. Kors, Erik M. van Mulligen, Benedikt F.H. Becker, Ewoud Pons
Publikováno v:
Database: The Journal of Biological Databases and Curation
Database-the Journal of Biological Databases and Curation. Oxford University Press
Database-the Journal of Biological Databases and Curation. Oxford University Press
We describe our approach to the chemical–disease relation (CDR) task in the BioCreative V challenge. The CDR task consists of two subtasks: automatic disease-named entity recognition and normalization (DNER), and extraction of chemical-induced dise
ContextD: an algorithm to identify contextual properties of medical terms in a Dutch clinical corpus
Autor:
Ning Kang, Zubair Afzal, Ewoud Pons, Martijn J. Schuemie, Jan A. Kors, Miriam C. J. M. Sturkenboom
Publikováno v:
BMC Bioinformatics
Background In order to extract meaningful information from electronic medical records, such as signs and symptoms, diagnoses, and treatments, it is important to take into account the contextual properties of the identified information: negation, temp