(JELIKU) Jurnal Elektronik Ilmu Komputer Udayana
Vol 10 No 1 (2021): JELIKU Volume 10 No 1, Agustus 2021

Implementation of K-Nearest Neighbor Algorithm in Heart Disease Classification

Putri Rahayu, Ni Kadek Sukma (Unknown)
Mogi, I Komang Ari (Unknown)



Article Info

Publish Date
06 Aug 2021

Abstract

The heart is an important organ that exists in the human body. The main function of the heart is to pump blood throughout the body through blood vessels. The WHO states that as many as 7.3 million people die from heart disease. In this study heart disease will be classified using the K-Nearest Neighbor algorithm. K-Nearest Neighbor algorithm is a classification algorithm based on the distance from data testing against training data with a pre-defined number of k. The results were obtained from performance measurements for the classification of heart disease with the K-Nearest Neighbor algorithm measured using the K-Fold Cross Validation algorithm, from an accuracy rate of 65.89%, a precision level of 66.27%, and a recall of 74.67%.

Copyrights © 2021






Journal Info

Abbrev

JLK

Publisher

Subject

Computer Science & IT

Description

Aim and Scope: JELIKU publishes original papers in the field of computer science, but not limited to, the following scope: Computer Science, Computer Engineering, and Informatics Computer Architecture Parallel and Distributed Computer Computer Network Embedded System Human—Computer Interaction ...