What is Heart Failure?

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1 INTRODUCTION
Heart is the basic part of the body. Heart-failure is a serious medical situation in which this master organ doesn’t operate properly. The malfunctioning of the heart may impact the whole body organs since it is affiliated to all the body parts through its arteries and veins. One of the most dangerous and insidious heart diseases is the heart attack. It can be delineated as a chest pain aligned with a constriction in the coronary vessels which is called atherosclerosis. The two main indicators for heart attack that have been focused on in this work are the type of chest pain and the coronary vessels clogging rate.
The centre of disease control and protection (CDC) has estimated that about 715,000 Americans have a heart attack every year. 525,000 of these are a first heart attack and 190,000 happen in people who have already had a heart attack [1].
Due to these dangerous upshots, there should be a way to predict a heart attack. The heart diseases can be diagnosed by their signs and symptoms. Heart attack is one of the riskiest heart diseases and it has the same signs and symptoms in addition to the plaques buildup in the coronary arteries which rupture inside of arteries, and the unstable angina which may be an imminent sign for a heart attack.
Data mining is the automatic study (analysis) of stored data to elicit the results and find patterns beyond these data. Nowadays, various diagnostic and patient medical records devices which may store a huge amount of data are found [2]. Therefore, these medical data that may indicate a heart attack must be stored and processed using data mining technique based neural network; in order to spring up a decision making system for the prediction of a heart attack.
The overall st...

... middle of paper ...

... 1-8.
[4] Miss. Chaitrali S. Dangare, Dr. Mrs. Sulabha S. Apte,
2012. “A data mining approach for prediction of heart disease using neural networks”, International Journal of Computer Engineering and Technology (IJCET), Vol. 3, Issue 3, pp. 30-40.
[5] Dilip Roy Chowdhury, Mridula Chatterjee R.K. Samanta, 2011. “An Artificial Neural Network Model for Neonatal Disease Diagnosis”, International Journal of Artificial Intelligence and Expert Systems (IJAE), vol. 2, Issue 3, pp. 96-106.
[6] https://www.physics.harvard.edu/uploads/ files/theses
PDF/Fiete.pdf
[7] K. Anil Jain, Jianchang Mao and K.M. Mohiuddi, 1996. “Artificial Neural Networks: A Tutorial”, IEEE Computers, pp.31-44.
[8] R. Rojas, (1996) “Neural Networks: a systematic introduction”, Springer-Verlag.
[9] Cleveland database:
http://archive.ics.uci.edu/ml/datasets/Heart+Disease

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