Paper Title
Data Mining Classification on Hypertension Database

Abstract
In this paper, a hypertension database was created by data belonging to 150 people, who arrived at hospital in different times, such as age, sex, body mass index, HDL, LDL, triglyceride, uric acid, smoking and whether that person has hypertension or not; and these data were analyzed through Decision Table and Random Forest algorithms, which are data mining classification algorithms. In this way, a system which will be able to predict whether or not hypertension patient candidates are hypertension was developed. Index Terms—Hypertension, Data Mining, Decision Table, Random Forest.