Titel

Merkliste
1 Ergebnisse

Use of deep learning to develop continuous-risk models for ..:

Tomašev, N ; Harris, N ; Baur, S...
https://discovery.ucl.ac.uk/id/eprint/10127962/1/Nature_Protocols%20accepted.pdf. , 2021

Link: https://discovery.ucl.ac.uk/id/eprint/10127962/1/Natur..

RT Journal
T1 <Title>Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftucl:oai:eprints.ucl.ac.uk.OAI2:10127962&Exemplar=1&LAN=DE
				
A1 Tomašev, N
A1 Harris, N
A1 Baur, S
A1 Mottram, A
A1 Glorot, X
A1 Rae, JW
A1 Zielinski, M
A1 Askham, H
A1 Saraiva, A
A1 Magliulo, V
A1 Meyer, C
A1 Ravuri, S
A1 Protsyuk, I
A1 Connell, A
A1 Hughes, CO
A1 Karthikesalingam, A
A1 Cornebise, J
A1 Montgomery, H
A1 Rees, G
A1 Laing, C
A1 Baker, CR
A1 Osborne, TF
A1 Reeves, R
A1 Hassabis, D
A1 King, D
A1 Suleyman, M
A1 Back, T
A1 Nielson, C
A1 Seneviratne, MG
A1 Ledsam, JR
A1 Mohamed, S
YR 2021
K1 Machine learning
K1 Predictive markers
K1 Software
K1 Translational research
JF https://discovery.ucl.ac.uk/id/eprint/10127962/1/Nature_Protocols%20accepted.pdf
LK http://dx.doi.org/https://discovery.ucl.ac.uk/id/eprint/10127962/1/Nature_Protocols%20accepted.pdf
DO https://discovery.ucl.ac.uk/id/eprint/10127962/1/Nature_Protocols%20accepted.pdf
SF ELIB - SuUB Bremen

Export

RefWorks (nur Desktop-Version!)
Flow (Zuerst in Flow einloggen, dann importieren)