Effective heart disease prediction system using data mining techniques

Poornima Singh,1 Sanjay Singh,2 Gayatri S Pandi-Jain1 1L. J. Institute of Engineering and Technology, Gujarat Technological University, 2Institute of Life Sciences, School of Science and Technology, Ahmedabad University, Ahmedabad, Gujarat, India Abstract: The health care industries collect huge a...

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Autores principales:	Singh P, Singh S, Pandi-Jain GS
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2018
Materias:	Data mining Neural Network Multilayer Perceptron Neural Network Backpropagation Disease Diagnosis Medicine (General) R5-920
Acceso en línea:	https://doaj.org/article/ed1be6469c994aa8b5fc27ddfea10487
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spelling	oai:doaj.org-article:ed1be6469c994aa8b5fc27ddfea104872021-12-02T04:51:13ZEffective heart disease prediction system using data mining techniques1178-2013https://doaj.org/article/ed1be6469c994aa8b5fc27ddfea104872018-03-01T00:00:00Zhttps://www.dovepress.com/effective-heart-disease-prediction-system-using-data-mining-techniques-peer-reviewed-article-IJNhttps://doaj.org/toc/1178-2013Poornima Singh,1 Sanjay Singh,2 Gayatri S Pandi-Jain1 1L. J. Institute of Engineering and Technology, Gujarat Technological University, 2Institute of Life Sciences, School of Science and Technology, Ahmedabad University, Ahmedabad, Gujarat, India Abstract: The health care industries collect huge amounts of data that contain some hidden information, which is useful for making effective decisions. For providing appropriate results and making effective decisions on data, some advanced data mining techniques are used. In this study, an effective heart disease prediction system (EHDPS) is developed using neural network for predicting the risk level of heart disease. The system uses 15 medical parameters such as age, sex, blood pressure, cholesterol, and obesity for prediction. The EHDPS predicts the likelihood of patients getting heart disease. It enables significant knowledge, eg, relationships between medical factors related to heart disease and patterns, to be established. We have employed the multilayer perceptron neural network with backpropagation as the training algorithm. The obtained results have illustrated that the designed diagnostic system can effectively predict the risk level of heart diseases. Keywords: data mining, neural network, multilayer perceptron neural network, backpropagation, disease diagnosisSingh PSingh SPandi-Jain GSDove Medical PressarticleData miningNeural NetworkMultilayer Perceptron Neural NetworkBackpropagationDisease DiagnosisMedicine (General)R5-920ENInternational Journal of Nanomedicine, Vol Volume 13, Pp 121-124 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Data mining Neural Network Multilayer Perceptron Neural Network Backpropagation Disease Diagnosis Medicine (General) R5-920
spellingShingle	Data mining Neural Network Multilayer Perceptron Neural Network Backpropagation Disease Diagnosis Medicine (General) R5-920 Singh P Singh S Pandi-Jain GS Effective heart disease prediction system using data mining techniques
description	Poornima Singh,1 Sanjay Singh,2 Gayatri S Pandi-Jain1 1L. J. Institute of Engineering and Technology, Gujarat Technological University, 2Institute of Life Sciences, School of Science and Technology, Ahmedabad University, Ahmedabad, Gujarat, India Abstract: The health care industries collect huge amounts of data that contain some hidden information, which is useful for making effective decisions. For providing appropriate results and making effective decisions on data, some advanced data mining techniques are used. In this study, an effective heart disease prediction system (EHDPS) is developed using neural network for predicting the risk level of heart disease. The system uses 15 medical parameters such as age, sex, blood pressure, cholesterol, and obesity for prediction. The EHDPS predicts the likelihood of patients getting heart disease. It enables significant knowledge, eg, relationships between medical factors related to heart disease and patterns, to be established. We have employed the multilayer perceptron neural network with backpropagation as the training algorithm. The obtained results have illustrated that the designed diagnostic system can effectively predict the risk level of heart diseases. Keywords: data mining, neural network, multilayer perceptron neural network, backpropagation, disease diagnosis
format	article
author	Singh P Singh S Pandi-Jain GS
author_facet	Singh P Singh S Pandi-Jain GS
author_sort	Singh P
title	Effective heart disease prediction system using data mining techniques
title_short	Effective heart disease prediction system using data mining techniques
title_full	Effective heart disease prediction system using data mining techniques
title_fullStr	Effective heart disease prediction system using data mining techniques
title_full_unstemmed	Effective heart disease prediction system using data mining techniques
title_sort	effective heart disease prediction system using data mining techniques
publisher	Dove Medical Press
publishDate	2018
url	https://doaj.org/article/ed1be6469c994aa8b5fc27ddfea10487
work_keys_str_mv	AT singhp effectiveheartdiseasepredictionsystemusingdataminingtechniques AT singhs effectiveheartdiseasepredictionsystemusingdataminingtechniques AT pandijaings effectiveheartdiseasepredictionsystemusingdataminingtechniques
_version_	1718401043603128320

Effective heart disease prediction system using data mining techniques

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