Monalisa Jena

SGA-DT: An adaptive fusion framework for missing data imputation and interpretable healthcare classification

2026 · PLoS ONE

Despite advances in machine learning and medical data processing, handling missing values remains a critical and complex challenge in healthcare analytics. Missing data, especially in non-class attributes can severely compromise model accuracy, clinical reliability, and …