TY  - GEN 
AU  - van Helvoort, E.M.
AU  - Jansen, M.P.
AU  - Marijnissen, A.C.A.
AU  - Kloppenburg, M.
AU  - Blanco García, Francisco
AU  - Haugen, I.K.
AU  - Berenbaum, F.
AU  - Bay-Jensen, A.-C.C.
AU  - Ladel, C.
AU  - Lalande, A.
AU  - Larkin, J.
AU  - Loughlin, J.
AU  - Mobasheri, A.
AU  - Weinans, H.H.
AU  - Widera, P.
AU  - Bacardit, J.
AU  - Welsing, P.M.J.
AU  - Lafeber, F.P.J.G.
PY  - 2022
SN  - 1462-0332
UR  - http://hdl.handle.net/20.500.11940/20771
AB  - OBJECTIVES: The IMI-APPROACH knee osteoarthritis study used machine learning (ML) to predict structural and/or pain progression, expressed by a structural (S) and pain (P) predicted-progression score, to select patients from existing cohorts. This...
LA  - eng
TI  - Predicted and actual 2-year structural and pain progression in the IMI-APPROACH knee osteoarthritis cohort
DO  - 10.1093/rheumatology/keac292
KW  - AS Coruña
KW  - CHUAC
KW  - INIBIC
VL  - 62
ER  -