دورية أكاديمية

Identification and prediction of difficult-to-treat rheumatoid arthritis patients in structured and unstructured routine care data: results from a hackathon

التفاصيل البيبلوغرافية
العنوان: Identification and prediction of difficult-to-treat rheumatoid arthritis patients in structured and unstructured routine care data: results from a hackathon
المؤلفون: Messelink, Marianne A.Aff1, Roodenrijs, Nadia M. T., van Es, BramAff2, Aff3, Hulsbergen-Veelken, Cornelia A. R., Jong, Sebastiaan, Overmars, L. MalinAff2, Aff3, Reteig, Leon C.Aff2, Aff3, Tan, Sander C.Aff3, Aff4, Tauber, Tjebbe, van Laar, Jacob M., Welsing, Paco M. J., Haitjema, Saskia
المصدر: Arthritis Research & Therapy. 23(1)
قاعدة البيانات: Springer Nature Journals
الوصف
تدمد:14786362
DOI:10.1186/s13075-021-02560-5