Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Anders Perner, ProfPhD"'
Autor:
Hans-Christian Thorsen-Meyer, MD, Annelaura B Nielsen, PhD, Anna P Nielsen, MD, Benjamin Skov Kaas-Hansen, MD, Palle Toft, ProfDMSc, Jens Schierbeck, MD, Thomas Strøm, PhD, Piotr J Chmura, MSc, Marc Heimann, BSc, Lars Dybdahl, MSc, Lasse Spangsege, MSc, Patrick Hulsen, BSc, Kirstine Belling, PhD, Søren Brunak, ProfPhD, Anders Perner, ProfPhD
Publikováno v:
The Lancet: Digital Health, Vol 2, Iss 4, Pp e179-e191 (2020)
Summary: Background: Many mortality prediction models have been developed for patients in intensive care units (ICUs); most are based on data available at ICU admission. We investigated whether machine learning methods using analyses of time-series d
Externí odkaz:
https://doaj.org/article/3ba93ebadb0841d38f9b17d3de6b2490
Autor:
Annelaura B Nielsen, PhD, Hans-Christian Thorsen-Meyer, MD, Kirstine Belling, PhD, Anna P Nielsen, MD, Cecilia E Thomas, PhD, Piotr J Chmura, MSc, Mette Lademann, PhD, Pope L Moseley, ProfMD, Marc Heimann, MSc, Lars Dybdahl, MSc, Lasse Spangsege, MSc, Patrick Hulsen, BSc, Anders Perner, ProfPhD, Søren Brunak, ProfPhD
Publikováno v:
The Lancet: Digital Health, Vol 1, Iss 2, Pp e78-e89 (2019)
Summary: Background: Intensive-care units (ICUs) treat the most critically ill patients, which is complicated by the heterogeneity of the diseases that they encounter. Severity scores based mainly on acute physiology measures collected at ICU admissi
Externí odkaz:
https://doaj.org/article/68a2c52c673440f0babaecc6a35cc5e9