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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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| Udgivet i: | J Prev Med Hyg |
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| Main Authors: | , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Pacini Editore Srl
2021
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8283630/ https://ncbi.nlm.nih.gov/pubmed/34322636 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.15167/2421-4248/jpmh2021.62.1.1651 |
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