Heart is the most crucial & critical organ of the human body. Life is completely dependent on the efficient working & functioning of our heart. It is one of the major causes of mortality in today's world. Heart disease remains one of the most serious health issues of our day. It is said to be the primary motive in death globally. Many times it's difficult for medical professionals to expect a heart disease on time. Nowadays, the health sector contains a lot of precious hidden facts & information which could prove to be very helpful in making predictive decisions especially......
Keywords- Data Mining, Artificial Intelligence, Heart Disease, Prediction.
[1]
Mohan, S., Thirumalai, C., & Srivastava, G. (2019). Effective heart disease prediction using hybrid machine learning techniques. IEEE Access, 7, 81542-81554.
[2]
Bashir, S., Khan, Z. S., Khan, F. H., Anjum, A., & Bashir, K. (2019, January). Improving heart disease prediction using feature selection approaches. In 2019 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (pp. 619-623). IEEE.
[3]
Amin, M. S., Chiam, Y. K., & Varathan, K. D. (2019). Identification of significant features and data mining techniques in predicting heart disease. Telematics and Informatics, 36, 82-93.
[4]
Ali, L., Rahman, A., Khan, A., Zhou, M., Javeed, A., & Khan, J. A. (2019). An Automated Diagnostic System for Heart Disease Prediction Based on ${\chi^{2}} $ Statistical Model and Optimally Configured Deep Neural Network. IEEE Access, 7, 34938-34945.
[5]
Maji, S., & Arora, S. (2019). Decision tree algorithms for prediction of heart disease. In Information and Communication Technology for Competitive Strategies (pp. 447-454). Springer, Singapore