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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
ORIGINAL PAPER
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

Internet

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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