Comparison of the K Nearest Neighbor Algorithm with Apriori Algorithm to Analyze Lifestyle Patterns in Hypertensive Patients

Abstract

Hypertension is one of the most influential cardiovascular diseases that can result in organ disorders such as heart dysfunction or stroke, and hypertension is often found by chance. Hypertension is a condition in which blood pressure increases drastically to above-normal limits and forces the heart to work harder in pumping blood to meet the body's oxygen needs. This disease can interfere with the work of other organs if left untreated, especially the heart and kidneys. Not paying attention to diet, exercise, stress, smoking, and drinking alcohol can all be responsible for an increased risk of hypertension. An a priori algorithm was used in the Sei Semayang Health Center case study to predict hypertensive patients and compare their behavioural patterns and lifestyles. So, the results of rapid-miner using a priori algorithm to analyse the Comparison of the K-Nearest Neighbor Algorithm with the Apriori Algorithm to Analyze Lifestyle Patterns in Hypertensive Patients the results obtained U1, which means that there are hypertensive patients aged 25-38 years who have more hypertension. The result is H2, which means that the community has but does not control the doctor with a pattern style such as consuming alcohol, smoking, lack of exercise, consumption of sugar, consumption of saturated fats and foods that contain much salt and rarely consuming vegetables or fruits and foods that contain mucin, so more. More people have hypertension by way of an unhealthy lifestyle.