TY  - JOUR 
AU  - Widera, P.
AU  - Welsing, P.M.J.
AU  - Danso, S.O.
AU  - Peelen, S.
AU  - Kloppenburg, M.
AU  - Loef, M.
AU  - Marijnissen, A.C.
AU  - van Helvoort, E.M.
AU  - Blanco García, Francisco
AU  - Magalhaes Silva, Joana Cristina
AU  - Berenbaum, F.
AU  - Haugen, I.K.
AU  - Bay-Jensen, A.-C.
AU  - Mobasheri, A.
AU  - Ladel, C.
AU  - Loughlin, J.
AU  - Lafeber, F.P.J.G.
AU  - Lalande, A.
AU  - Larkin, J.
AU  - Weinans, H.
AU  - Bacardit, J.
PY  - 2023
SN  - 2665-9131
UR  - http://hdl.handle.net/20.500.11940/21231
AB  - Objectives: To efficiently assess the disease-modifying potential of new osteoarthritis treatments, clinical trials need progression-enriched patient populations. To assess whether the application of machine learning results in patient selection...
LA  - eng
TI  - Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study
DO  - 10.1016/j.ocarto.2023.100406
T2  - Osteoarthritis and Cartilage Open
KW  - AS A Coruña
KW  - CHUAC
KW  - AS A Coruña
KW  - INIBIC
VL  - 5
ER  -