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S. Eskandarieh

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Open access Jul 2026

A Data-Driven Approach for Handling Missing Data in a Real Multiple Sclerosis Dataset Based on Machine Learning

Background and Objective: Reliable medical research depends on data integrity, yet clinical datasets often contain real and systematically missing values. This study aimed to develop a robust, clinically realistic imputation framework for a raw Multiple Sclerosis (MS) dataset affected by real-world missingness. Methods...

Shima Pilehvari, Wei Peng, Mohammadali Sahraian et al. · 0 citations

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