Standard
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.
In:
npj Digital Medicine, Vol. 5, 142, 2022.
Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
Thorsen-Meyer, H-C
, Placido, D, Kaas-Hansen, BS, Nielsen, AP
, Lange, T, Nielsen, AB, Toft, P, Schierbeck, J, Strøm, T
, Chmura, PJ, 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, vol. 5, 142.
https://doi.org/10.1038/s41746-022-00679-6APA
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/s41746-022-00679-6Vancouver
Thorsen-Meyer H-C
, Placido D, Kaas-Hansen BS, Nielsen AP
, Lange T, Nielsen AB et al.
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data.
npj Digital Medicine. 2022;5. 142.
https://doi.org/10.1038/s41746-022-00679-6Author
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. In: npj Digital Medicine. 2022 ; Vol. 5.
Bibtex
@article{daf5817dcfc644e59f3e826c4354fc7c,
title = "Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data",
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",
year = "2022",
doi = "10.1038/s41746-022-00679-6",
language = "English",
volume = "5",
journal = "npj Digital Medicine",
issn = "2398-6352",
publisher = "Nature Publishing Group",
}
RIS
TY - JOUR
T1 - Discrete-time survival analysis in the critically ill
T2 - a deep learning approach using heterogeneous data
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
PY - 2022
Y1 - 2022
U2 - 10.1038/s41746-022-00679-6
DO - 10.1038/s41746-022-00679-6
M3 - Journal article
C2 - 36104486
VL - 5
JO - npj Digital Medicine
JF - npj Digital Medicine
SN - 2398-6352
M1 - 142
ER -
