Detection of Diagnostic Pathways by Applying Data Mining Method to Health Insurance Claims

Application to rare disease: pulmonary arterial hypertension

Abstract

This paper presents a data mining method for health insurance claims. Target is a rare disease, pulmonary arterial pulmonary hypertension associated with connective tissue disease. It shows that knowledge can be efficiently discovered using data mining: transition visualization, sequential and emerging pattern mining from large-scale data.