Prediction of high and low disease activity in early MS patients using multiple kernel learning identifies importance of lateral ventricle intensity

BACKGROUND: Lack of easy-to-interpret disease activity prediction methods in early MS can lead to worse patient prognosis. OBJECTIVES: Using machine learning (multiple kernel learning – MKL) models, we assessed the prognostic value of various clinical and MRI measures for disease activity. METHODS:...

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Detalles Bibliográficos
Autores principales: Chien, Claudia, Seiler, Moritz, Eitel, Fabian, Schmitz-Hübsch, Tanja, Paul, Friedemann, Ritter, Kerstin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260586/
https://www.ncbi.nlm.nih.gov/pubmed/35815061
http://dx.doi.org/10.1177/20552173221109770

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9260586/
https://www.ncbi.nlm.nih.gov/pubmed/35815061
http://dx.doi.org/10.1177/20552173221109770

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