A Review on Cardiovascular Disease Prediction using Machine Learning Techniques

May 2023
Vol-9, Issue-3
Paper ID: 20602
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Random Forest Logistic Regression Naïve Bayes KNN Decision Tree SVM Machine Learning CVD Hybrid random forest with linear model Ensemble classifier Fuzzy approach K-nearest neighbor Artificial neural network Apriori algorithm.
Abstract
Heart disease is one of the most significant causes of mortality in the world today. The main challenge is to predict the cardiovascular disease. In the last decade, along with the life of a machine, many diseases, including cancer and cardiovascular disease have been common in many societies that kill many people every year. Machine learning is a subset of artificial intelligence that enables software programmers to grow more precise at predicting outcomes. Machine learning is very useful technique for predicting cardiovascular disease. Machine learning techniques are used to predict the heart disease, such as Hybrid random forest with linear model, Ensemble classifier, Fuzzy approach, K-nearest neighbor, Artificial neural network, Apriori algorithm and Support vector machine. This paper provides an insight of the existing algorithm and it gives an overall summary of the existing work.
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Information

# Name Institute / Affiliation
1 Prof. Mr. Abhijit Ashok Hipparkar College of Engineering Phaltan
2 Mr. Prathamesh Vasantrao Wagh College of Engineering Phaltan
3 Mr. Prathmesh Prashant Shaha College of Engineering Phaltan
4 Mr. Sumit Narayan Kadam College of Engineering Phaltan
5 Mr. Abhijeet Manohar Mane College of Engineering Phaltan

How to Cite

Use the following formats to cite this article in your research.

APA Style
Hipparkar, Prof. Mr. Abhijit Ashok, Wagh, Mr. Prathamesh Vasantrao, Shaha, Mr. Prathmesh Prashant, Kadam, Mr. Sumit Narayan, & Mane, Mr. Abhijeet Manohar (2023). A Review on Cardiovascular Disease Prediction using Machine Learning Techniques. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 3037-3040.
MLA Style
Hipparkar, Prof. Mr. Abhijit Ashok, et al. "A Review on Cardiovascular Disease Prediction using Machine Learning Techniques." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 3037-3040.
IEEE Style
Prof. Mr. Abhijit Ashok Hipparkar, Mr. Prathamesh Vasantrao Wagh, Mr. Prathmesh Prashant Shaha, Mr. Sumit Narayan Kadam, and Mr. Abhijeet Manohar Mane, "A Review on Cardiovascular Disease Prediction using Machine Learning Techniques," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 3037-3040, 2023.
Vancouver Style
Hipparkar Prof. Mr. Abhijit Ashok, Wagh Mr. Prathamesh Vasantrao, Shaha Mr. Prathmesh Prashant, Kadam Mr. Sumit Narayan, Mane Mr. Abhijeet Manohar. A Review on Cardiovascular Disease Prediction using Machine Learning Techniques. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):3037-3040.
Harvard Style
Hipparkar, Prof. Mr. Abhijit Ashok, Wagh, Mr. Prathamesh Vasantrao, Shaha, Mr. Prathmesh Prashant, Kadam, Mr. Sumit Narayan, & Mane, Mr. Abhijeet Manohar (2023) 'A Review on Cardiovascular Disease Prediction using Machine Learning Techniques', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 3037-3040.
Chicago Style
Hipparkar, Prof. Mr. Abhijit Ashok, et al. "A Review on Cardiovascular Disease Prediction using Machine Learning Techniques." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3037-3040.
Turabian Style
Hipparkar, Prof. Mr. Abhijit Ashok, et al. "A Review on Cardiovascular Disease Prediction using Machine Learning Techniques." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 3037-3040.

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