ISSN 2394-5125
 

Research Article 


AN EXPLORATION TO IDENTIFY THE MOST RELEVANT PARAMETERS FOR PREDICTION OF HEART DISEASE

Shaik Munawar, A.Geetha, K.Srinivas.

Abstract
Healthcare plays an important role in human life. Cardiovascular disease(CVD) is the most popular
disease that may damage blood vessels, which becomes a cause for heart attack. Previously existing methods for
prediction of heart disease helped in understanding the changes in the health of patients. These predictions
resulted in taking suitable actions in reducing the risk of an heart attack. Huge medical data is available in the
healthcare industry. This data can be used by machine learning and deep learning algorithms to make decisions
effectively for
prediction.These techniques can be used as hybrid machine learning algorithms to achieve promising results. In
this paper, we discuss various researchers' views and their developed models used to predict heart disease. In the
literature, there are many methods of identifying heart disease. Usually, the prediction of any disease is done by
using the health data of a patient. But the present environmental pollution and busy life are also becoming
causes for the disease. Hence it has become essential to include the data of these regular habits of an inhabitant
for prediction of disease.

Key words: HEART DISEASE


 
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Pubmed Style

Shaik Munawar, A.Geetha, K.Srinivas. AN EXPLORATION TO IDENTIFY THE MOST RELEVANT PARAMETERS FOR PREDICTION OF HEART DISEASE. JCR. 2020; 7(19): 10143-10152. doi:10.31838/jcr.07.19.1108


Web Style

Shaik Munawar, A.Geetha, K.Srinivas. AN EXPLORATION TO IDENTIFY THE MOST RELEVANT PARAMETERS FOR PREDICTION OF HEART DISEASE. http://www.jcreview.com/?mno=26204 [Access: August 17, 2021]. doi:10.31838/jcr.07.19.1108


AMA (American Medical Association) Style

Shaik Munawar, A.Geetha, K.Srinivas. AN EXPLORATION TO IDENTIFY THE MOST RELEVANT PARAMETERS FOR PREDICTION OF HEART DISEASE. JCR. 2020; 7(19): 10143-10152. doi:10.31838/jcr.07.19.1108



Vancouver/ICMJE Style

Shaik Munawar, A.Geetha, K.Srinivas. AN EXPLORATION TO IDENTIFY THE MOST RELEVANT PARAMETERS FOR PREDICTION OF HEART DISEASE. JCR. (2020), [cited August 17, 2021]; 7(19): 10143-10152. doi:10.31838/jcr.07.19.1108



Harvard Style

Shaik Munawar, A.Geetha, K.Srinivas (2020) AN EXPLORATION TO IDENTIFY THE MOST RELEVANT PARAMETERS FOR PREDICTION OF HEART DISEASE. JCR, 7 (19), 10143-10152. doi:10.31838/jcr.07.19.1108



Turabian Style

Shaik Munawar, A.Geetha, K.Srinivas. 2020. AN EXPLORATION TO IDENTIFY THE MOST RELEVANT PARAMETERS FOR PREDICTION OF HEART DISEASE. Journal of Critical Reviews, 7 (19), 10143-10152. doi:10.31838/jcr.07.19.1108



Chicago Style

Shaik Munawar, A.Geetha, K.Srinivas. "AN EXPLORATION TO IDENTIFY THE MOST RELEVANT PARAMETERS FOR PREDICTION OF HEART DISEASE." Journal of Critical Reviews 7 (2020), 10143-10152. doi:10.31838/jcr.07.19.1108



MLA (The Modern Language Association) Style

Shaik Munawar, A.Geetha, K.Srinivas. "AN EXPLORATION TO IDENTIFY THE MOST RELEVANT PARAMETERS FOR PREDICTION OF HEART DISEASE." Journal of Critical Reviews 7.19 (2020), 10143-10152. Print. doi:10.31838/jcr.07.19.1108



APA (American Psychological Association) Style

Shaik Munawar, A.Geetha, K.Srinivas (2020) AN EXPLORATION TO IDENTIFY THE MOST RELEVANT PARAMETERS FOR PREDICTION OF HEART DISEASE. Journal of Critical Reviews, 7 (19), 10143-10152. doi:10.31838/jcr.07.19.1108