Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Boris Pfahringer"'
Autor:
Volkmar Falk, Titus Kühne, Felix Schoenrath, Nina Rank, Christof Stamm, Alexander Meyer, Boris Pfahringer, Carsten Eickhoff, Jörg Kempfert
Publikováno v:
npj Digital Medicine, Vol 3, Iss 1, Pp 1-12 (2020)
Rank, N.; Pfahringer, B.; Kempfert, J.; Stamm, C.; Kühne, T.; Schoenrath, F.; Falk, V.; Eickhoff, C.; Meyer, A.: Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. In: npj Digital Medicine . Vol. 3 (2020) 1, 139. (DOI: /10.1038/s41746-020-00346-8)
NPJ Digital Medicine
npj Digital Medicine, 3 (1)
Rank, N.; Pfahringer, B.; Kempfert, J.; Stamm, C.; Kühne, T.; Schoenrath, F.; Falk, V.; Eickhoff, C.; Meyer, A.: Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. In: npj Digital Medicine . Vol. 3 (2020) 1, 139. (DOI: /10.1038/s41746-020-00346-8)
NPJ Digital Medicine
npj Digital Medicine, 3 (1)
Acute kidney injury (AKI) is a major complication after cardiothoracic surgery. Early prediction of AKI could prompt preventive measures, but is challenging in the clinical routine. One important reason is that the amount of postoperative data is too
Autor:
Andreas Spuler, Jan-Martin Kuhnigk, Markus Huellebrand, Jens Schaller, Boris Pfahringer, Tabea Kossen, Titus Kuehne, Matthias Ivantsits, Jan Brüning, Anja Hennemuth, Leonid Goubergrits
Publikováno v:
Cerebral Aneurysm Detection ISBN: 9783030728618
CADA@MICCAI
CADA@MICCAI
Rupture of an intracranial aneurysm often results in subarachnoid hemorrhage, a life-threatening condition with high mortality and morbidity. The Cerebral Aneurysm Detection and Analysis (CADA) competition was organized to support the development and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e79580a95b809646f7d2796ec4855bcb
https://doi.org/10.1007/978-3-030-72862-5_1
https://doi.org/10.1007/978-3-030-72862-5_1
Autor:
Boris Pfahringer, Volkmar Falk, Simon H. Sündermann, Jörg Kempfert, Thomas Hofmann, Dina Zverinski, Alexander Meyer, Titus Kuehne, Christof Stamm, Carsten Eickhoff
Publikováno v:
The Lancet. Respiratory medicine. 6(12)
The large amount of clinical signals in intensive care units can easily overwhelm health-care personnel and can lead to treatment delays, suboptimal care, or clinical errors. The aim of this study was to apply deep machine learning methods to predict
Autor:
Frederic Schneider, Boris Pfahringer, Matthieu-P. Schapranow, Harry Freitas da Cruz, Alexander Meyer
Publikováno v:
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Artificial Intelligence in Medicine
Artificial Intelligence in Medicine-17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings
Artificial Intelligence in Medicine ISBN: 9783030216412
AIME
Lecture Notes in Computer Science-Artificial Intelligence in Medicine
Artificial Intelligence in Medicine-17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings
Artificial Intelligence in Medicine ISBN: 9783030216412
AIME
The number of machine learning clinical prediction models being published is rising, especially as new fields of application are being explored in medicine. Notwithstanding these advances, only few of such models are actually deployed in clinical con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::859d5469ebb17e0e5af282993e80e6c1