Artificial Intelligence and Communication Technologies
Optimal Medical diagnosis of Human Heart Disease by K-Nearest Neighbors And Decision Trees Classifiers Algorithms
Authors: Ghulab Nabi Ahmad, Hira Fatima, Shafiullah , Nazish Laeiq and Syed Md Humayun Akhter
Publishing Date: 10-04-2023
ISBN: 978-81-955020-5-9
Abstract
Because of its relevance in the growth of tremendous applications in the medical area, data mining is a hugely important domain for exploration. When it comes to fatalities throughout the world, heart disease appears to be the leading cause of death. Recognizing a person’s risk of heart disease, it is a difficult assignment for health professionals since it takes very much time and extensive medical testing in the existing models. For the early prediction of cardiac disease, an improved version of the K-Nearest Neighbors (KNN) and Decision Tree (DT) classifier are applied, which ensures greater accuracy than existing models. Enhanced KNN is used for the correct treatment of patients and preserve consistency in the heart disease prediction system. We have calculated feature relevance, which assigns a score to independent factors based on how well they predict the difference walking. The variables difference walking, stroke and diabetes were the most relevant aspects, as shown in figure 2. We have compared to other existing models, the proposed model outperforms the existing models in terms of heart disease prediction. And the suggested work’s KNN algorithm hasthe greatest accuracy of 90.97 percentage and the highest ROC Curve of 69.97 percentage in predicting heart disease in comparison to Decision Tree (DT). The expenses and duration of treatment are reduced when the condition is detected early.
Keywords
Machine learning, heart disease, K-Nearest Neighbors (KNN), Decision Tree (DT)
Cite as
Ghulab Nabi Ahmad, Hira Fatima, Shafiullah , Nazish Laeiq and Syed Md Humayun Akhter, "Optimal Medical diagnosis of Human Heart Disease by K-Nearest Neighbors And Decision Trees Classifiers Algorithms", In: Saroj Hiranwal and Garima Mathur (eds), Artificial Intelligence and Communication Technologies, SCRS, India, 2023, pp. 1031-1037. https://doi.org/10.52458/978-81-955020-5-9-98