Mining of Heart Disease Data

Author(s)	Dr. Kadumu Venkata Sobha Rani, Dr. Chennamsetty Venkata SivaRam Prasad, Ms. Chennamsetty Venakata Naga Sai Lekhya
Country	India
Abstract	Data mining has attracted popular interest due to the high demand for transforming huge amounts of data found in databases and other information repositories into useful knowledge. Data mining plays a significant role in disease detection by analyzing large datasets to identify patterns for early diagnosis, risk prediction, and personalized treatment. Heart disease is a major health problem in today’s time. Detecting heart disease requires a combination of tests, with the specific tests chosen by a doctor based on a patient's symptoms, risk factors, and medical history. However, the number of tests should be reduced by using data mining techniques. This paper aims at analyzing the heart disease dataset using association rules which is one of the important data mining techniques. In heart disease dataset, attributes are representing features/tests and rows represent the patient records. This paper uses association rule mining on a heart disease dataset to identify significant tests or features for diagnosis.
Keywords	Data Mining, Association Rules, Frequent Itemsets, Apriori, Heart Disease
Field	Computer > Data / Information
Published In	Volume 7, Issue 5, September-October 2025
Published On	2025-10-31
DOI	https://doi.org/10.36948/ijfmr.2025.v07i05.59317

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research