Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Matthias Löbe"'
Autor:
Carina Nina Vorisek, Sophie Anne Inès Klopfenstein, Matthias Löbe, Carsten Oliver Schmidt, Paula Josephine Mayer, Martin Golebiewski, Sylvia Thun
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-8 (2024)
Abstract The German initiative “National Research Data Infrastructure for Personal Health Data” (NFDI4Health) focuses on research data management in health research. It aims to foster and develop harmonized informatics standards for public health
Externí odkaz:
https://doaj.org/article/1d675b5f07584ac5be6482d4be6fa2b4
Autor:
Thomas Wiktorin, Daniel Grigutsch, Felix Erdfelder, Andrew J. Heidel, Frank Bloos, Danny Ammon, Matthias Löbe, Sven Zenker
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 820 (2024)
The cross-institutional secondary use of medical data benefits from structured semantic annotation, which ideally enables the matching and merging of semantically related data items from different sources and sites. While numerous medical terminologi
Externí odkaz:
https://doaj.org/article/2654b80785cd45e7abd8e63daf860807
Autor:
A Anil Sinaci, Mert Gencturk, Huseyin Alper Teoman, Gokce Banu Laleci Erturkmen, Celia Alvarez-Romero, Alicia Martinez-Garcia, Beatriz Poblador-Plou, Jonás Carmona-Pírez, Matthias Löbe, Carlos Luis Parra-Calderon
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e42822 (2023)
BackgroundSharing health data is challenging because of several technical, ethical, and regulatory issues. The Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles have been conceptualized to enable data interoperability. Many
Externí odkaz:
https://doaj.org/article/70cc2852eaf6425eb80c52a6d8445641
Autor:
Christian Lovis, Christophe Gaudet-Blavignac, Miriam Quintero, Patrick Weber, Kevin Ashley, Manuel M. Perez-Perez, Carlos Luis Parra Calderón, Laurence Horton, Celia Alvarez-Romero, A. Anil Sinaci, Alicia Martínez-García, Eva Méndez, Mert Gencturk, Rosa Liperoti, Tony Hernández-Pérez, Matthias Löbe, Carmen Angioletti, Thomas M. Deserno, Nagarajan Ganapathy, Elisio Costa, Marta Almada, Giorgio Cangioli, Catherine Chronaki, Beatriz Poblador-Plou, Ronald Cornet, Antonio Gimeno-Miguel, Jonás Carmona-Pírez, Alexandra Prados-Torres, Antonio Poncel-Falcó, Bojan Zaric, Tomi Kovacevic, Sanja Hromis, Darijo Bokan, Carlos Rapallo Fernández, Jelena Djekic Malbasa, Jessica Rochat, Teresa Velázquez Fernández
Publikováno v:
Open Research Europe, Vol 2 (2022)
Due to the nature of health data, its sharing and reuse for research are limited by ethical, legal and technical barriers. The FAIR4Health project facilitated and promoted the application of FAIR principles in health research data, derived from the p
Externí odkaz:
https://doaj.org/article/53d26a4f3cd9466a89cb706eacf63574
Autor:
Juliane Fluck, Birte Lindstädt, Wolfgang Ahrens, Oya Beyan, Benedikt Buchner, Johannes Darms, Ralf Depping, Jens Dierkes, Hubertus Neuhausen, Wolfgang Müller, Hajo Zeeb, Martin Golebiewski, Markus Löffler, Matthias Löbe, Frank Meineke, Sebastian Klammt, Holger Fröhlich, Horst Hahn, Matthias Schulze, Tobias Pischon, Ute Nöthlings, Ulrich Sax, Harald Kusch, Linus Grabenhenrich, Carsten Oliver Schmidt, Dagmar Waltemath, Sebastian Semler, Juliane Gehrke, Toralf Kirsten, Fabian Praßer, Sylvia Thun, Lothar Wieler, Iris Pigeot
Publikováno v:
Bausteine Forschungsdatenmanagement, Iss 2 (2021)
doch erfüllen Studienprotokolle, eingesetzte Erhebungsinstrumente und erhobene Daten die Anforderungen der FAIR-Prinzipien nicht in ausreichendem Maße. NFDI4Health wird daher eine Struktur schaffen, die eine zentrale Suche nach existierenden, dezen
Externí odkaz:
https://doaj.org/article/516a329b360e4c728cd980cbbc78819e
Autor:
Sascha Welten, Lars Hempel, Masoud Abedi, Yongli Mou, Mehrshad Jaberansary, Laurenz Neumann, Sven Weber, Kais Tahar, Yeliz Ucer Yediel, Matthias Löbe, Stefan Decker, Oya Beyan, Toralf Kirsten
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4336 (2022)
The constant upward movement of data-driven medicine as a valuable option to enhance daily clinical practice has brought new challenges for data analysts to get access to valuable but sensitive data due to privacy considerations. One solution for mos
Externí odkaz:
https://doaj.org/article/ed7d50c2bf124c148e39aedfa4fcee84
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
Secondary use of medical data for research is desirable for intrinsic, ethical and financial reasons. In this context, the question becomes relevant as to how such datasets are to be made accessible to a larger target group in the long term. Typicall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a826f2387ea211239f0021541a5088f
https://doi.org/10.3233/shti230247
https://doi.org/10.3233/shti230247
Autor:
Christian Draeger, Erik Tute, Carsten Oliver Schmidt, Dagmar Waltemath, Martin Boeker, Alfred Winter, Matthias Löbe
Publikováno v:
Caring is Sharing – Exploiting the Value in Data for Health and Innovation ISBN: 9781643683881
The German Medical Informatics Initiative makes clinical routine data available for biomedical research. In total, 37 university hospitals have set up so-called data integration centers to facilitate this data reuse. A standardized set of HL7 FHIR pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d6cb81c6577dfe2d926f3b55bc9a219
https://doi.org/10.3233/shti230117
https://doi.org/10.3233/shti230117
Autor:
A Anil Sinaci, Mert Gencturk, Huseyin Alper Teoman, Gokce Banu Laleci Erturkmen, Celia Alvarez-Romero, Alicia Martinez-Garcia, Beatriz Poblador-Plou, Jonás Carmona-Pírez, Matthias Löbe, Carlos Luis Parra-Calderon
BACKGROUND Sharing health data is challenging because of several technical, ethical, and regulatory issues. The Findable, Accessible, Interoperable, and Reusable (FAIR) guiding principles have been conceptualized to enable data interoperability. Many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6c8cb79129ace4ea0e71cc4c5a9b4ff
https://doi.org/10.2196/preprints.42822
https://doi.org/10.2196/preprints.42822
Autor:
Mona, Perbix, Matthias, Löbe, Sebastian, Stäubert, A Anil, Sinaci, Mert, Gencturk, Miriam, Quintero, Alicia, Martinez-Garcia, Celia, Alvarez-Romero, Carlos L, Parra-Calderon, Alfred, Winter
Publikováno v:
Studies in health technology and informatics. 295
In the EU project FAIR4Health, a ETL pipeline for the FAIRification of structured health data as well as an agent-based, distributed query platform for the analysis of research hypotheses and the training of machine learning models were developed. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::b8624f411fc2811a6a8505a92133d6c3
https://pubmed.ncbi.nlm.nih.gov/35773907
https://pubmed.ncbi.nlm.nih.gov/35773907