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Development and validation of a machine learning-supported strategy of patient selection for osteoarthritis clinical trials: the IMI-APPROACH study
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 enrichment, we developed a machine learning recruitmen...
Autores principales: | Widera, Paweł, Welsing, Paco M.J., Danso, Samuel O., Peelen, Sjaak, Kloppenburg, Margreet, Loef, Marieke, Marijnissen, Anne C., van Helvoort, Eefje M., Blanco, Francisco J., Magalhães, Joana, Berenbaum, Francis, Haugen, Ida K., Bay-Jensen, Anne-Christine, Mobasheri, Ali, Ladel, Christoph, Loughlin, John, Lafeber, Floris P.J.G., Lalande, Agnès, Larkin, Jonathan, Weinans, Harrie, Bacardit, Jaume |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463256/ https://www.ncbi.nlm.nih.gov/pubmed/37649530 http://dx.doi.org/10.1016/j.ocarto.2023.100406 |
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