Applications of Statistical Modeling and Data Science Techniques in Analyzing Clinical Progression of Pediatric Hyperferritinemia

High ferritin levels in children are often linked to serious illness and increased risk of death. Early identification of risk factors can guide treatment. Integrating statistical models with clinical data has shown promise for improving outcome prediction in pediatric intensive care. We conducted a retrospective study of 150 pediatric patients with hyperferritinemia. Clinical scores, laboratory results, and treatment details were collected.