Abstract—Non-communicable Disease (NCD) is the most common illness that kills Filipinos for the past years. Coronary Artery Disease (CAD) which is a common cause of narrowing blood vessels, is the deadliest NCD in the Philippines that caught the attention of many studies in the field of medicine. A classification algorithm is a famous tool for discovering knowledge in databases. This paper aims to discover knowledge on the cholesterol record and its behavior for decision making. The paper showed that Decision Tree gives a favorable result in terms of model development for classifying cholesterol status with high confidence on its accuracy. Based on the results of the study, females with high cholesterol are greater than males for ages between 29-30, whereas, persons at the age of 70 shows low cholesterol level. The variation of cholesterol level has been observed for the month of March and May.
 

Index Terms—stroke, cardiovascular, CAD, machine learning, decision tree, decision making

Cite: Jonardo R. Asor, Gene Marck B. Catedrilla, and Jefferson L. Lerios, "Usage of Classification Algorithm for Extracting Knowledge in Cholesterol Report towards Non-communicable Disease Analysis," Journal of Advances in Information Technology, Vol. 11, No. 4, pp. 265-270, November 2020. doi: 10.12720/jait.11.4.265-270

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