Comparison of Machine Learning Methods Using Spectralis OCT for Diagnosis and Disability Progression Prognosis in Multiple Sclerosis

Machine learning approaches in diagnosis and prognosis of multiple sclerosis (MS) were analysed using retinal nerve fiber layer (RNFL) thickness, measured by optical coherence tomography (OCT). A cross-sectional study (72 MS patients and 30 healthy controls) was used for diagnosis. These 72 MS patie...

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Detalles Bibliográficos
Autores principales: Montolío, Alberto, Cegoñino, José, Garcia-Martin, Elena, Pérez del Palomar, Amaya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001622/
https://www.ncbi.nlm.nih.gov/pubmed/35220529
http://dx.doi.org/10.1007/s10439-022-02930-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001622/
https://www.ncbi.nlm.nih.gov/pubmed/35220529
http://dx.doi.org/10.1007/s10439-022-02930-3

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