Titel

Merkliste
1 Ergebnisse

Longitudinal machine learning modeling of MS patient trajec..:

De Brouwer, Edward ; Becker, Thijs ; Moreau, Yves...
Computer Methods and Programs in Biomedicine. 208 (2021) - p. 106180 , 2021

Link: https://doi.org/10.1016/j.cmpb.2021.106180

RT Journal
T1 <Title>Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression</Title>

UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.cmpb.2021.106180&Exemplar=1&LAN=DE
				
A1 De Brouwer, Edward
A1 Becker, Thijs
A1 Moreau, Yves
A1 Havrdova, Eva Kubala
A1 Trojano, Maria
A1 Eichau, Sara
A1 Ozakbas, Serkan
A1 Onofrj, Marco
A1 Grammond, Pierre
A1 Kuhle, Jens
A1 Kappos, Ludwig
A1 Sola, Patrizia
A1 Cartechini, Elisabetta
A1 Lechner-Scott, Jeannette
A1 Alroughani, Raed
A1 Gerlach, Oliver
A1 Kalincik, Tomas
A1 Granella, Franco
A1 Grand'Maison, Francois
A1 Bergamaschi, Roberto
A1 José Sá, Maria
A1 Van Wijmeersch, Bart
A1 Soysal, Aysun
A1 Sanchez-Menoyo, Jose Luis
A1 Solaro, Claudio
A1 Boz, Cavit
A1 Iuliano, Gerardo
A1 Buzzard, Katherine
A1 Aguera-Morales, Eduardo
A1 Terzi, Murat
PB Elsevier BV
YR 2021
SN 0169-2607
JF Computer Methods and Programs in Biomedicine
VO 208
SP 106180
LK http://dx.doi.org/https://doi.org/10.1016/j.cmpb.2021.106180
DO https://doi.org/10.1016/j.cmpb.2021.106180
SF ELIB - SuUB Bremen

Export

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