Multiple Sclerosis Predictions and Sensitivity Analysis Using Robust Models

Multiple Sclerosis (MS) is a disease that disrupts the flow of information within the brain. It affects approximately 1 million people in the US. And remains incurable. MS treatments can cause side effects and impact the qual... | Find, read and cite all the research you need on Tech Science Press

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Publication Details

Journal
Journal of Intelligent Medicine and Healthcare
Published
2025-01-01
DOI
https://doi.org/10.32604/jimh.2022.062824
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
0.00
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article

Multiple Sclerosis Predictions and Sensitivity Analysis Using Robust Models

Alex Kibet, Gilbert Langat
1 links
Journal of Intelligent Medicine and Healthcare
Statistical Methods and Inference
article

Multiple Sclerosis Predictions and Sensitivity Analysis Using Robust Models

Alex Kibet, Gilbert Langat
article en

Abstract

Multiple Sclerosis (MS) is a disease that disrupts the flow of information within the brain. It affects approximately 1 million people in the US. And remains incurable. MS treatments can cause side effects and impact the qual... | Find, read and cite all the research you need on Tech Science Press

Journal of Intelligent Medicine and HealthcareVol. 3(1)
Openalex Percentile: Top 93%
Statistical Methods and Inference
DOIOpen Access PDFOpenAlex
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Multiple Sclerosis Predictions and Sensitivity Analysis Using Robust Models — Alex Kibet, Gilbert Langat · Journal of Intelligent Medicine and Healthcare (2025) | TGRS Research Map | TGRS