Factor Comparison of Congenital Diseases in the Elderly Patients Using J48 and Naïve Bayes Classification Algorithm: A Case Study: Poeklang Public Health, Nakhon Ratchasima Province

Abstract

This study was to compare the elderly patient data (gender, age, and congenital disease), and the diseases of the elderly patients which can be grouped follows: diabetes, hypertension, cardiovascular disease, fall accident, diabetes and hypertension, tuberculosis, chronic bronchitis, chronic hepatitis and other diseases. Therefore, the research data collected from a sample of 594 persons from the experts aged between 60-90 years an average of 72.03 years; most of them are female 60.07 percent and male 39.93 percent. Male patients had more diabetes and hypertension than female ones. The elderly patients with congenital diseases had 50.7 percent. The number of elderly without disease was more than the elderly without disease.