Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Fluck Juliane"'
Autor:
Moazemi, Sobhan, Adams, Tim, NG, Hwei Geok, Kühnel, Lisa, Schneider, Julian, Näher, Anatol-Fiete, Fluck, Juliane, Fröhlich, Holger
Individual health data is crucial for scientific advancements, particularly in developing Artificial Intelligence (AI); however, sharing real patient information is often restricted due to privacy concerns. A promising solution to this challenge is s
Externí odkaz:
http://arxiv.org/abs/2408.04478
Autor:
Kühnel, Lisa, Schneider, Julian, Perrar, Ines, Adams, Tim, Prasser, Fabian, Nöthlings, Ute, Fröhlich, Holger, Fluck, Juliane
Access to individual-level health data is essential for gaining new insights and advancing science. In particular, modern methods based on artificial intelligence rely on the availability of and access to large datasets. In the health sector, access
Externí odkaz:
http://arxiv.org/abs/2305.07685
Autor:
Wegner, Philipp, Schaaf, Sebastian, Uebachs, Mischa, Grobe-Einsler, Marcus, Klockgether, Thomas, Fluck, Juliane, Faber, Jennifer
Motivation: Visualization of data is a crucial step to understanding and deriving hypotheses from clinical data. However, for clinicians, visualization often comes with great effort due to the lack of technical knowledge about data handling and visua
Externí odkaz:
http://arxiv.org/abs/2210.16649
Recent developments in transfer learning have boosted the advancements in natural language processing tasks. The performance is, however, dependent on high-quality, manually annotated training data. Especially in the biomedical domain, it has been sh
Externí odkaz:
http://arxiv.org/abs/2202.10101
Autor:
Wegner, Philipp, Schaaf, Sebastian, Uebachs, Mischa, Domingo-Fernández, Daniel, Salimi, Yasamin, Gebel, Stephan, Sargsyan, Astghik, Birkenbihl, Colin, Springstubbe, Stephan, Klockgether, Thomas, Fluck, Juliane, Hofmann-Apitius, Martin, Kodamullil, Alpha Tom
Motivation: The importance of clinical data in understanding the pathophysiology of complex disorders has prompted the launch of multiple initiatives designed to generate patient-level data from various modalities. While these studies can reveal impo
Externí odkaz:
http://arxiv.org/abs/2111.09313
Autor:
Younesi Erfan, Toldo Luca, Müller Bernd, Friedrich Christoph M, Novac Natalia, Scheer Alexander, Hofmann-Apitius Martin, Fluck Juliane
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 12, Iss 1, p 148 (2012)
Abstract Background For selection and evaluation of potential biomarkers, inclusion of already published information is of utmost importance. In spite of significant advancements in text- and data-mining techniques, the vast knowledge space of biomar
Externí odkaz:
https://doaj.org/article/59c90814d7a84009a490282fa1c2390d
Akademický článek
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Publikováno v:
BMC Bioinformatics, Vol 7, Iss 1, p 325 (2006)
Abstract Background Autoimmune diseases are disorders caused by an immune response directed against the body's own organs, tissues and cells. In practice more than 80 clinically distinct diseases, among them systemic lupus erythematosus and rheumatoi
Externí odkaz:
https://doaj.org/article/82dfd309d68f4115905a229506a66ea9
Akademický článek
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Autor:
Madan, Sumit, Julius Zimmer, Fabian, Balabin, Helena, Schaaf, Sebastian, Fröhlich, Holger, Fluck, Juliane, Neuner, Irene, Mathiak, Klaus, Hofmann-Apitius, Martin, Sarkheil, Pegah
Publikováno v:
In International Journal of Medical Informatics May 2022 161