Article thumbnail

Diagnostic Analysis of Patients with Essential Hypertension Using Association Rule Mining

By A Mi Shin, In Hee Lee, Gyeong Ho Lee, Hee Joon Park, Hyung Seop Park, Kyung Il Yoon, Jung Jeung Lee and Yoon Nyun Kim
Topics: Original Article
Publisher: Korean Society of Medical Informatics
OAI identifier:
Provided by: PubMed Central

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles


  1. (2009). Basic concepts and principles of data mining in clinical practice.
  2. (2009). Comorbidity study of ADHD: applying association rule mining (ARM) to National Health Insurance Database of Taiwan.
  3. (2008). Data mining modeling and case. 2nd ed. Seoul: Hannarae;
  4. (2004). Hypertension: the role of hypertension in diabetic patients, the cause and etiology. Clin Diabetes
  5. (2001). Measuring the burden of hypertension using
  6. (2008). National Statistical Office of Korea. Annual report on the cause of the death statistics 2008. Seoul: National Statistical Office of Korea;
  7. (1999). Smoking and atherosclerotic cardiovascular disease in men with low levels of serum cholesterol: the Korea Medical Insurance Corporation Study. JAMA
  8. (2001). The analysis of clinical information by building the clinical data warehouse.
  9. (2003). The study of risk factors of the disease worse due to hypertension and management aspect [dissertation]. Chuncheon: Kangwon National Univ.;
  10. (2000). Therapeutic compliance and its related factors of patients with hypertension in rural area.