Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Thomas Gumbsch"'
Publikováno v:
Knowledge and Information Systems
Knowledge and information systems, 62 (3)
Knowledge and information systems, 62 (3)
The results of clustering are often affected by covariates that are independent of the clusters one would like to discover. Traditionally, alternative clustering algorithms can be used to solve such clustering problems. However, these suffer from at
Autor:
Karsten M. Borgwardt, Thomas Gumbsch
Publikováno v:
The Lancet Digital Health
The Lancet. Digital health
The Lancet. Digital health
Summary Background Despite wide use of severity scoring systems for case-mix determination and benchmarking in the intensive care unit (ICU), the possibility of scoring bias across ethnicities has not been examined. Guidelines on the use of illness s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dd2cc41ab989cbfe9b7be99541b7232
https://hdl.handle.net/21.11116/0000-000C-EC7C-0
https://hdl.handle.net/21.11116/0000-000C-EC7C-0
Publikováno v:
Bioinformatics
Bioinformatics, 36 (Supplement_2)
Bioinformatics, 36 (Supplement_2)
Motivation Temporal biomarker discovery in longitudinal data is based on detecting reoccurring trajectories, the so-called shapelets. The search for shapelets requires considering all subsequences in the data. While the accompanying issue of multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4160808d550357f02743f2c5bb050b3
https://hdl.handle.net/21.11116/0000-000C-F059-1
https://hdl.handle.net/21.11116/0000-000C-F059-1
Autor:
Bastian Rieck, Martin Faltys, Christian Bock, Stephanie L. Hyland, Cristóbal Esteban, Dean A. Bodenham, Matthias Hüser, Gunnar Rätsch, Karsten M. Borgwardt, Max Horn, Michael Moor, Marc Zimmermann, Tobias M. Merz, Xinrui Lyu, Thomas Gumbsch
Publikováno v:
Nature Medicine
Nature Medicine, 26 (3)
Nature Medicine, 26 (3)
Intensive-care clinicians are presented with large quantities of measurements from multiple monitoring systems. The limited ability of humans to process complex information hinders early recognition of patient deterioration, and high numbers of monit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4afbecf6603050e8238a09c7fcb1d56
https://hdl.handle.net/21.11116/0000-000C-F06F-9
https://hdl.handle.net/21.11116/0000-000C-F06F-9
Autor:
Stephanie L, Hyland, Martin, Faltys, Matthias, Hüser, Xinrui, Lyu, Thomas, Gumbsch, Cristóbal, Esteban, Christian, Bock, Max, Horn, Michael, Moor, Bastian, Rieck, Marc, Zimmermann, Dean, Bodenham, Karsten, Borgwardt, Gunnar, Rätsch, Tobias M, Merz
Publikováno v:
Nature medicine. 26(3)
Intensive-care clinicians are presented with large quantities of measurements from multiple monitoring systems. The limited ability of humans to process complex information hinders early recognition of patient deterioration, and high numbers of monit
Autor:
Karsten M. Borgwardt, Thomas Gumbsch, Christian Bock, Bastian Rieck, Matteo Togninalli, Elisabetta Ghisu
Publikováno v:
2019 IEEE International Conference on Data Mining (ICDM)
ICDM
ICDM
2019 IEEE International Conference on Data Mining (ICDM)
ISBN:978-1-7281-4604-1
ISBN:978-1-7281-4605-8
ISBN:978-1-7281-4604-1
ISBN:978-1-7281-4605-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ca9316e61889672c4507ee44d90579d
https://hdl.handle.net/21.11116/0000-000C-F255-3
https://hdl.handle.net/21.11116/0000-000C-F255-3
Autor:
Bastian Rieck, Damian Roqueiro, Michael Moor, Thomas Gumbsch, Christian Bock, Karsten M. Borgwardt
Publikováno v:
Bioinformatics, 34 (13)
Bioinformatics
Bioinformatics
Motivation Most modern intensive care units record the physiological and vital signs of patients. These data can be used to extract signatures, commonly known as biomarkers, that help physicians understand the biological complexity of many syndromes.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f7a664b4fd5df3327cc42025e89c438
https://hdl.handle.net/20.500.11850/279088
https://hdl.handle.net/20.500.11850/279088
Publikováno v:
ICDM
2017 IEEE International Conference on Data Mining (ICDM)
2017 IEEE International Conference on Data Mining (ICDM)
Clustering results are often affected by covariates that are independent of the clusters one would like to discover. Traditionally, Alternative Clustering algorithms can be used to solve such a problem. However, these suffer from at least one of the