Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data

Hans-Christian Thorsen-Meyer; Davide Placido; Benjamin Skov Kaas-Hansen; Anna P. Nielsen; Theis Lange; Annelaura B. Nielsen; Palle Toft; Jens Schierbeck; Thomas Strøm; Piotr J. Chmura; Marc Heimann; Kirstine Belling; Anders Perner; Søren Brunak

doi:10.1038/s41746-022-00679-6

Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data

Hans-Christian Thorsen-Meyer, Davide Placido, Benjamin Skov Kaas-Hansen, Anna P. Nielsen, Theis Lange, Annelaura B. Nielsen, Palle Toft, Jens Schierbeck, Thomas Strøm, Piotr J. Chmura, Marc Heimann, Kirstine Belling, Anders Perner, Søren Brunak

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

15 Citationer (Scopus)

49 Downloads (Pure)

Originalsprog	Engelsk
Artikelnummer	142
Tidsskrift	npj Digital Medicine
Vol/bind	5
Antal sider	10
DOI	https://doi.org/10.1038/s41746-022-00679-6
Status	Udgivet - 2022

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10.1038/s41746-022-00679-6Licens: CC BY

FulltextForlagets udgivne version, 2,85 MBLicens: CC BY

Citationsformater

Thorsen-Meyer, H-C., Placido, D., Kaas-Hansen, B. S., Nielsen, A. P., Lange, T., Nielsen, A. B., Toft, P., Schierbeck, J., Strøm, T., Chmura, P. J., Heimann, M., Belling, K., Perner, A., & Brunak, S. (2022). Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data. npj Digital Medicine, 5, [142]. https://doi.org/10.1038/s41746-022-00679-6

Discrete-time survival analysis in the critically ill : a deep learning approach using heterogeneous data. / Thorsen-Meyer, Hans-Christian; Placido, Davide; Kaas-Hansen, Benjamin Skov; Nielsen, Anna P.; Lange, Theis ; Nielsen, Annelaura B.; Toft, Palle; Schierbeck, Jens; Strøm, Thomas; Chmura, Piotr J.; Heimann, Marc; Belling, Kirstine; Perner, Anders ; Brunak, Søren.

I: npj Digital Medicine, Bind 5, 142, 2022.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review

Thorsen-Meyer, Hans-Christian ; Placido, Davide ; Kaas-Hansen, Benjamin Skov ; Nielsen, Anna P. ; Lange, Theis ; Nielsen, Annelaura B. ; Toft, Palle ; Schierbeck, Jens ; Strøm, Thomas ; Chmura, Piotr J. ; Heimann, Marc ; Belling, Kirstine ; Perner, Anders ; Brunak, Søren. / Discrete-time survival analysis in the critically ill : a deep learning approach using heterogeneous data. I: npj Digital Medicine. 2022 ; Bind 5.

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author = "Hans-Christian Thorsen-Meyer and Davide Placido and Kaas-Hansen, {Benjamin Skov} and Nielsen, {Anna P.} and Theis Lange and Nielsen, {Annelaura B.} and Palle Toft and Jens Schierbeck and Thomas Str{\o}m and Chmura, {Piotr J.} and Marc Heimann and Kirstine Belling and Anders Perner and S{\o}ren Brunak",

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AU - Thorsen-Meyer, Hans-Christian

AU - Placido, Davide

AU - Kaas-Hansen, Benjamin Skov

AU - Nielsen, Anna P.

AU - Lange, Theis

AU - Nielsen, Annelaura B.

AU - Toft, Palle

AU - Schierbeck, Jens

AU - Strøm, Thomas

AU - Chmura, Piotr J.

AU - Heimann, Marc

AU - Belling, Kirstine

AU - Perner, Anders

AU - Brunak, Søren

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DO - 10.1038/s41746-022-00679-6

M3 - Journal article

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VL - 5

JO - npj Digital Medicine

JF - npj Digital Medicine

SN - 2398-6352

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ER -