Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Schmidt, Carsten"'
Publikováno v:
65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 381 /20210226/
Background: A fundamental component of digital clinical information systems (CIS) are Electronic Health Records [ref:1]. Efforts such as the Medical Informatics Initiative ([link:https://www.medizininformatik-initiative.de*https://www.medizininformat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::430813171a739c96cf2248631a5e086f
Publikováno v:
65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS), Meeting of the Central European Network (CEN: German Region, Austro-Swiss Region and Polish Region) of the International Biometric Society (IBS); 20200906-20200909; Berlin; DOCAbstr. 407 /20210226/
Background: Data quality (DQ) reporting is a repetitive task, where similar indicators are computed for large numbers of study variables. This can be computationally intensive, particularly for advanced statistical procedures. In the Study of Health
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a45c094fe7f2658e4aa8705e8da6900
Autor:
Tibubos, Ana N., Otten, Daniëlle, Zöller, Daniela, Binder, Harald, Wild, Philipp S., Fleischer, Toni, Johar, Hamimatunnisa, Atasoy, Seryan, Schulze, Lara, Ladwig, Karl-Heinz, Schomerus, Georg, Linkohr, Birgit, Grabe, Hans J., Kruse, Johannes, Schmidt, Carsten-Oliver, Münzel, Thomas, König, Jochem, Brähler, Elmar, Beutel, Manfred E.
Publikováno v:
BMC Psychiatry 21:238 (2021)
BMC Psychiatry, Vol 21, Iss 1, Pp 1-13 (2021)
BMC Psychiatry
BMC Psychiatry, Vol 21, Iss 1, Pp 1-13 (2021)
BMC Psychiatry
Background The Patient Health Questionnaire-9 (PHQ-9) has been proposed as a reliable and valid screening instrument for depressive symptoms with one latent factor. However, studies explicitly testing alternative model structures found support for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ace434ba1f2f8c8bc4e0b1e93bf04dc9
Autor:
Baraliakos, Xenofon, Richter, Adrian, Feldmann, Daniel, Ott, Anne, Buelow, Robin, Schmidt, Carsten, Braun, Jürgen
Publikováno v:
Deutscher Rheumatologiekongress 2020, 48. Kongress der Deutschen Gesellschaft für Rheumatologie (DGRh), 34. Jahrestagung der Deutschen Gesellschaft für Orthopädische Rheumatologie (DGORh); 20200909-20200912; sine loco [digital]; DOCSpA.19 /20200909/
Introduction: We here identify and compare factors associated with the extension of magnetic resonance imaging (MRI) lesions in the spine and the SIJ suggestive of axial spondyloarthritis (axSpA) in the general population. Methods: Spinal- (sagittal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::456f63653410b100778d9c7cc4a00913
http://www.egms.de/en/meetings/dgrh2020/20dgrh148.shtml
http://www.egms.de/en/meetings/dgrh2020/20dgrh148.shtml
Autor:
Schmidt, Carsten Oliver, Richter, Adrian, Enzenbach, Cornelia, Pohlabeln, Hermann, Meisinger, Christa, Wellmann, Jürgen, Selder, Sonja, Houben, Robin, Nonnemacher, Michael, Stausberg, Jürgen
Publikováno v:
GMS Medizinische Informatik, Biometrie und Epidemiologie; VOL: 15; DOC09 /20191206/
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 15, Iss 1, p Doc09 (2019)
GMS Medizinische Informatik, Biometrie und Epidemiologie, 15(1):Doc09
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 15, Iss 1, p Doc09 (2019)
GMS Medizinische Informatik, Biometrie und Epidemiologie, 15(1):Doc09
High data quality is a precondition for valid scientific conclusions. Indicators should therefore routinely be used to evaluate data quality within the life cycle of health studies. In this project, 15 representatives of seven German population-based
Autor:
Richter, Adrian, Schössow, Janka, Werner, André, Schauer, Birgit, Radke, Dörte, Henke, Jörg, Struckmann, Stephan, Schmidt, Carsten Oliver
Publikováno v:
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 15, Iss 1, p Doc08 (2019)
High data quality is fundamental for valid inferences in health research. Metadata, i.e. “data that describe other data”, are essential to implement data quality assessments but more guidance on which metadata to use is needed. Similarly, the sel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb3e32ec53a6866c3c2018c84ba95f45
Publikováno v:
64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 20190908-20190911; Dortmund; DOCAbstr. 225 /20190906/
Introduction: Complex epidemiologic studies such as the Study of Health in Pomerania (SHIP) generate and integrate data from different origins such as laboratory measurements, imaging, clinical examinations, interviews, and many more [ref:1]. Within
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4785947c209cb688d410be7ad94100c
http://nbn-resolving.de/urn:nbn:de:0183-19gmds1166
http://nbn-resolving.de/urn:nbn:de:0183-19gmds1166
Autor:
Schmidt, Carsten Oliver, Enzenbach, Cornelia, Stausberg, Jürgen, Pohlabeln, Hermann, Richter, Adrian
Publikováno v:
64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 20190908-20190911; Dortmund; DOCAbstr. 241 /20190906/
Introduction: A high data quality is necessary to ensure valid results from health studies. This entails the need for informative and consented data quality indicators. Background: Across and within scientific disciplines many approaches to address d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::998a33cf3e16b570d8ea3f2328b20ba4
Publikováno v:
64. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS); 20190908-20190911; Dortmund; DOCAbstr. 229 /20190906/
Introduction: Data quality assessments should be tailored to different data sources such as primary or secondary data collections [ref:1]. The software language R offers versatile options to address related needs [ref:2], [ref:3]. Background: Observa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::662c7271933b7f1d73d41b71676320a2
http://www.egms.de/en/meetings/gmds2019/19gmds012.shtml
http://www.egms.de/en/meetings/gmds2019/19gmds012.shtml
Autor:
Stausberg, Jürgen, Bauer, Ulrike, Nasseh, Daniel, Pritzkuleit, Ron, Schmidt, Carsten O., Schrader, Thomas, Nonnemacher, Michael
Publikováno v:
GMS Medizinische Informatik, Biometrie und Epidemiologie; VOL: 15; DOC05 /20190709/
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 15, Iss 1, p Doc05 (2019)
GMS Medizinische Informatik, Biometrie und Epidemiologie, Vol 15, Iss 1, p Doc05 (2019)
Data quality is of highest importance for quantitative medical research. A common set of indicators for data quality is needed to cope with the future challenges in data management for biomedical informatics. A guideline for adaptive data management