[4K3-GS-3] Data mining: User aid

[4K3-GS-3-01] Detection of Diagnostic Pathways by Applying Data Mining Method to Health Insurance Claims

Application to rare disease: pulmonary arterial hypertension

〇Masafumi Tsukuda², Yukinobu Hamuro¹ (1. Kwansei Gakuin University., 2. Actelion Pharmaceuticals Japan Ltd.)

Keywords:set sequence pattern, decision tree, health insurance claims, pulmonary arterial hypertension

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.