Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Kathrin, Dentler"'
Autor:
María Del Carmen, Legaz-García, Kathrin, Dentler, Jesualdo Tomás, Fernández-Breis, Ronald, Cornet
Publikováno v:
Studies in health technology and informatics. 235
ArchMS is a framework that represents clinical information and knowledge using ontologies in OWL, which facilitates semantic interoperability and thereby the exploitation and secondary use of clinical data. However, it does not yet support the automa
Publikováno v:
Dentler, K, Numans, M E, ten Teije, A C M, Cornet, R & de Keizer, N F 2014, ' Formalization and computation of quality measures based on electronic medical records ', Journal of the American Medical Informatics Association, vol. 21, no. 2, pp. 285-291 . https://doi.org/10.1136/amiajnl-2013-001921
Journal of the American Medical Informatics Association, 21(2), 285-291. Oxford University Press
Journal of the American Medical Informatics Association, 21(2), 285-291. Oxford University Press
Objective: Ambiguous definitions of quality measures in natural language impede their automated computability and also the reproducibility, validity, timeliness, traceability, comparability, and interpretability of computed results. Therefore, qualit
Autor:
Kathrin Dentler, Ronald Cornet
Publikováno v:
Artificial Intelligence in Medicine, 65(1), 29-34. Elsevier
Artificial intelligence in medicine, 65(1), 29-34. Elsevier
Dentler, K & Cornet, R 2015, ' Intra-axiom redundancies in SNOMED CT ', Artificial Intelligence in Medicine, vol. 65, no. 1, pp. 29-34 . https://doi.org/10.1016/j.artmed.2014.10.003
Artificial intelligence in medicine, 65(1), 29-34. Elsevier
Dentler, K & Cornet, R 2015, ' Intra-axiom redundancies in SNOMED CT ', Artificial Intelligence in Medicine, vol. 65, no. 1, pp. 29-34 . https://doi.org/10.1016/j.artmed.2014.10.003
HighlightsWe present a method to automatically detect intra-axiom redundancies.In SNOMED CT, intra-axiom redundancies are continuously introduced and removed.In SNOMED CT, a consistent proportion of about 12 overlooked redundancies may result in subo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::686746780ba1b8f72a2ef94e9ca36f24
https://research.vu.nl/en/publications/8e88125d-3cfd-4d04-ae71-1fa1547336d1
https://research.vu.nl/en/publications/8e88125d-3cfd-4d04-ae71-1fa1547336d1
Autor:
Jean H. G. Klinkenbijl, Kristien M. A. J. Tytgat, Ronald Cornet, Nicolette F. de Keizer, Kathrin Dentler, Pieter J. Tanis, Annette ten Teije
Publikováno v:
BMC Medical Informatics and Decision Making
BMC medical informatics and decision making, 14. BioMed Central
BMC Medical Informatics and Decision Making, 14(32). BioMed Central
Dentler, K, Cornet, R, ten Teije, A C M, Tanis, P, Klinkenbijl, J, Tytgat, K & de Keizer, N F 2014, ' Influence of data quality on computed Dutch hospital quality indicators: a case study in colorectal cancer surgery. ', BMC Medical Informatics and Decision Making, vol. 14, no. 32 . https://doi.org/10.1186/1472-6947-14-32
BMC medical informatics and decision making, 14. BioMed Central
BMC Medical Informatics and Decision Making, 14(32). BioMed Central
Dentler, K, Cornet, R, ten Teije, A C M, Tanis, P, Klinkenbijl, J, Tytgat, K & de Keizer, N F 2014, ' Influence of data quality on computed Dutch hospital quality indicators: a case study in colorectal cancer surgery. ', BMC Medical Informatics and Decision Making, vol. 14, no. 32 . https://doi.org/10.1186/1472-6947-14-32
Background: Our study aims to assess the influence of data quality on computed Dutch hospital quality indicators, and whether colorectal cancer surgery indicators can be computed reliably based on routinely recorded data from an electronic medical re
Publikováno v:
Studies in health technology and informatics. 192
Today, clinical data is routinely recorded in vast amounts, but its reuse can be challenging. A secondary use that should ideally be based on previously collected clinical data is the computation of clinical quality indicators. In the present study,
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319039152
KR4HC/ProHealth
KR4HC/ProHealth
The development and investigation of medical applications require patient data from various Electronic Health Records (EHR) or Clinical Records (CR). However, in practice, patient data is and should be protected and monitored to avoid unauthorized ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7473f71934e20131a1f6a99e4744a169
https://doi.org/10.1007/978-3-319-03916-9_7
https://doi.org/10.1007/978-3-319-03916-9_7
Publikováno v:
Joint Workshop on Process-oriented Information Systems in Healthcare (ProHealth) and Knowledge Representation for Health Care (KRH4C), 85-97
STARTPAGE=85;ENDPAGE=97;TITLE=Joint Workshop on Process-oriented Information Systems in Healthcare (ProHealth) and Knowledge Representation for Health Care (KRH4C)
Scopus-Elsevier
LECTURE NOTES IN COMPUTER SCIENCE, 7738, 85-97. Springer Verlag
Dentler, K, ten Teije, A, Cornet, R & De Keizer, N 2013, Semantic Integration of Patient Data and Quality Indicators based on openEHR Archetypes . in Joint Workshop on Process-oriented Information Systems in Healthcare (ProHealth) and Knowledge Representation for Health Care (KRH4C) . 2013, pp. 85-97, Joint Workshop on Process-oriented Information Systems in Healthcare (ProHealth) and Knowledge Representation for Health Care (KRH4C), 1/01/13 .
Lecture Notes in Computer Science ISBN: 9783642364372
ProHealth/KR4HC
STARTPAGE=85;ENDPAGE=97;TITLE=Joint Workshop on Process-oriented Information Systems in Healthcare (ProHealth) and Knowledge Representation for Health Care (KRH4C)
Scopus-Elsevier
LECTURE NOTES IN COMPUTER SCIENCE, 7738, 85-97. Springer Verlag
Dentler, K, ten Teije, A, Cornet, R & De Keizer, N 2013, Semantic Integration of Patient Data and Quality Indicators based on openEHR Archetypes . in Joint Workshop on Process-oriented Information Systems in Healthcare (ProHealth) and Knowledge Representation for Health Care (KRH4C) . 2013, pp. 85-97, Joint Workshop on Process-oriented Information Systems in Healthcare (ProHealth) and Knowledge Representation for Health Care (KRH4C), 1/01/13 .
Lecture Notes in Computer Science ISBN: 9783642364372
ProHealth/KR4HC
Electronic Health Records (EHRs) contain a wealth of information, but accessing and (re)using it is often difficult. Archetypes have been shown to facilitate the (re)use of EHR data, and may be useful with regard to clinical quality indicators. These
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63118e8c4352acb2e25cad3f32094672
https://research.vu.nl/en/publications/47e6380d-cef0-45b0-a1e8-b95e8729e4c0
https://research.vu.nl/en/publications/47e6380d-cef0-45b0-a1e8-b95e8729e4c0
Autor:
Kathrin Dentler, Ronald Cornet
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783642383250
AIME
AIME
While redundant elements in SNOMED CT concept definitions are harmless from a logical point of view, they unnecessarily make concept definitions of typically large ontologies such as SNOMED CT hard to construct and to maintain. In this paper, we appl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92a9e48fe5e6b30f22d7b973463539e5
https://doi.org/10.1007/978-3-642-38326-7_29
https://doi.org/10.1007/978-3-642-38326-7_29
Autor:
Kathrin, Dentler, Ronald, Cornet, Annette, Ten Teije, Kristien, Tytgat, Jean, Klinkenbujl, Nicolette, De Keizer
Publikováno v:
Studies in health technology and informatics. 180
In order to be able to automatically calculate clinical quality indicators, we have proposed CLIF, a stepwise method for clinical quality indicator formalisation. Quality indicators are used for external accountability and hospital comparison. As cli
Autor:
Kathrin Dentler, Hannes Mühleisen
Publikováno v:
Mühleisen, H & Dentler, K 2012, ' Large-Scale Storage and Reasoning for Semantic Data Using Swarms ', IEEE Computational Intelligence Magazine, vol. 7, no. 2, pp. 32-44 . https://doi.org/10.1109/MCI.2012.2188586
IEEE Computational Intelligence Magazine, 7(2), 32-44. Institute of Electrical and Electronics Engineers Inc.
IEEE Computational Intelligence Magazine, 7(2), 32-44. Institute of Electrical and Electronics Engineers Inc.
Scalable, adaptive and robust approaches to store and analyze the massive amounts of data expected from Semantic Web applications are needed to bring the Web of Data to its full potential. The solution at hand is to distribute both data and requests
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6697474170898fed33d81d518650bc7
https://doi.org/10.1109/mci.2012.2188586
https://doi.org/10.1109/mci.2012.2188586