Open AccessHuman Heart Disease Prediction System Using Data Mining Techniques
Author(s) -
Sidra Javed,
Hamza Javed,
Ayesha Saddique,
Beenish Rafiq
Publication year - 2019
Publication title -
sir syed university research journal of engineering and technology
Language(s) - English
Resource type - Journals
eISSN - 2415-2048
pISSN - 1997-0641
DOI - 10.33317/ssurj.v8iii.92
Subject(s) - decision tree , id3 , computer science , data mining , id3 algorithm , decision tree learning , knowledge extraction , machine learning , big data , heart disease , decision support system , incremental decision tree , artificial intelligence , data science , medicine , cardiology
— Prediction of heart disease is a big concern now a days because everyone is busy and due to heavy load of work people do not give attention to their health. To diagnose a disease is a big challenge. The issue is to extract data that have some meaningful knowledge. For this purpose, data mining techniques are used to extract meaningful data. Decision Tree and ID3 are used to predict heart diseases. Many researchers and practitioners are familiar with prediction of heart diseases and wide range of techniques is available to predict disease. To address this problem, Decision Tree is used to predict the heart disease. In this study the collected data is pre-processed, Decision Tree algorithm and ID3 were then applied to predict the heart disease.
Index Terms— Decision Tree, ID3 Algorithm, Data Mining, Decision Support System (DSS), knowledge Discovery from Databases (KDD).