Abstract: Missing data remains a critical challenge in cohort studies. This study introduces a novel missing value imputation technique that integrates feature sensitivity and factor analysis with clustering and predictive modelling to enhance accuracy, reliability, and interpretability.
External IDs:dblp:conf/isace/SharmaBDKTR25
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