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Predicting Heart Disease using Data Mining and Machine Learning Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 23 |
| Year of Publication: 2023 |
| Authors: Vaishali Sarde, Pankaj Sarde |
10.5120/ijca2023922976
|
Vaishali Sarde, Pankaj Sarde . Predicting Heart Disease using Data Mining and Machine Learning Techniques. International Journal of Computer Applications. 185, 23 ( Jul 2023), 21-26. DOI=10.5120/ijca2023922976
Abstract
Heart-Disease has become a very common and serious problem among people worldwide in recent years. Now days many advanced technologies have evolved in treating heart disease. Medical practitioner’s required reliable automated system which can accurately and efficiently major the problem belong to the patient. Early diagnosis of the disease can help the medical persons in treating the patient and saving the life. There are many techniques available which can be used to predict the heart disease by analysing the health-related parameters. This paper emphases on five different techniques from datamining and machine learning to predict heart disease. Comparative study among these techniques has been presented. Five techniques K-means, Decision Tree, Support Vector Machine, Naive Bayes and Artificial Neural Network are implemented. The dataset is taken from Kaggle repository. It combines 5 different datasets, with 11 features and detail of 1190 persons, which makes it the largest heart disease dataset.
References
- Hazra, A., Mandal, S., Gupta, A. and Mukherjee, A. 2017. Heart Disease Diagnosis and Prediction Using Machine Learning and Data Mining Techniques: A Review. Advances in Computational Sciences and Technology, 10, 2137-2159.
- Napa K, Sarika Sindhu G., Krishna Prashanthi D,. Shaeen Sulthana, Aril 2020. A. Analysis and Prediction of Cardio Vascular Disease using Machine Learning Classifiers, 2020 6th International Conferenc on Advanced Computing & Communication Systems (ICACCS.
- Velmurugan T., Latha U. January 2021Classifying Heart Disease in Medical Data Using Deep Learning Methods Journal of Computer and Communications. Vol.9 No.1.
- Patil C, A. B. and Sonawane, P. 2017 To Predict Heart Disease Risk and Medications Using Data Mining Techniques with an IoT Based Monitoring System for Post-Operative Heart Disease Patients. International Journal on Emerging Trends in Technology (IJETT), 4, 8274-8281.
- Beyene C., Kamat P., January 2018, Survey on Prediction and Analysis the Occurrence of Heart Disease Using Data Mining Techniques, International Journal of Pure and Applied Mathematics 118(8):165-173
- Methaila A., Kansal P., Arya H., and Kumar P.,
- 2014. Early heart disease prediction using data mining techniques, Computer Science & Information echnology Journal , pp. 53 -59, 2014.
- Chauhan R, Bajaj P, Choudhary K, Gigras Y.2015 Framework to predict health diseases using attribute selection mechanism. In: 2015 2nd international conference on computing for sustainable global development (INDIACom). IEEE. p. 1880–84.
- Raihan M, Mondal S, More A, Sagor M O F, Sikder G, Majumder M A & Ghosh K., December 2016. Smartphone based ischemic heart disease (heart attack) risk prediction using clinical data and data mining approaches, a prototype design. In 2016 19th International Conference on Computer and Information Technology (ICCIT) (pp. 299-303). IEEE.
- Siddhartha M. Kaggle dataset repository https://www.kaggle.com/datasets/sid321axn/heart-statlog-cleveland-hungary-final
- Nagamani T., Logeswari S., B.Gomathy, January 2019 Heart Disease Prediction using Data Mining with Mapreduce Algorithm, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-3.
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