Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative study

INTRODUCTION: Hamedan Province is one of Iran’s high-risk regions for Multiple Sclerosis (MS). Early diagnosis of MS based on an accurate system can control the disease. The aim of this study was to compare the performance of four machine learning techniques with traditional methods for predicting M...

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Detalles Bibliográficos
Autores principales: DARVISHI, SONIA, HAMIDI, OMID, POOROLAJAL, JALAL
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pacini Editore Srl 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283630/
https://www.ncbi.nlm.nih.gov/pubmed/34322636
http://dx.doi.org/10.15167/2421-4248/jpmh2021.62.1.1651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8283630/
https://www.ncbi.nlm.nih.gov/pubmed/34322636
http://dx.doi.org/10.15167/2421-4248/jpmh2021.62.1.1651

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