Data Mining and Knowledge Engineering

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Prediction of Coronary Heart Disease using Algorithms in Data Mining


Affiliations
1 Department of Computer Applications, S.A. Engineering College, India
     

   Subscribe/Renew Journal


Data mining is the process of examining large databases in order to generate new information. Data mining in health care plays a major role. Healthcare industry generates large amounts of complex data about patients, hospital resources, disease diagnosis, electronic patient records, medical devices etc., Heart disease is a term for a number of different diseases which affects our heart. Common heart diseases are cardiovascular disease, Carotid Artery Disease (CAD), Coronary Heart Disease (CHD), Peripheral Artery Disease (PAD), Chronic Heart Disease (CKD) and stroke.  The objective of this paper is to evaluate different classification technique in heart disease forecasting like Naive Bayes and K-Nearest Neighbor algorithms.


Keywords

Data Mining, Naïve Bayes, K-Nearest Neighbor and Dataset.
User
Subscription Login to verify subscription
Notifications
Font Size

  • Umair Shafique, Fiaz majeed, Haseeb Qaiser and irfan u1 Mustafa, “Data mining in healthcare for heart disease”, International Journal of innovation and applied studies, vol.10 Mar 2018.

  • Megha Shahi, Er. R Rupinder Kaur Gurm, ”Heart Disease Prediction system using data mining techniques”, International Journal of Technology and Computing(IJTC), vol. 3 Apr 2017.

  • Dhara Mehta, Nirali Varnagar,” Comparative analysis of data mining classification techniques for heart disease prediction”, International research journal of engineering and technology, Vol. 5 Dec 2018.

  • Nikita shirwalkar, Tushar Tak, “Human heart disease prediction system using data mining techniques”, (IJIACS), vol.7 Mar 2018.

  • Parvez Ahmad, Saquid Qamar,” Techniques of data mining in healthcare”, International Journal of Computer Application”, vol.120 Jun 2015.

  • Subhashri.K, Arockiapanimalar, Vignesh.P, Ashwin.S,” Analysis on data mining techniques for heart disease dataset”, International Research Journal of Engineering and Technology (IRJET), vol.4 Sep 2017.

  • Hlaudi Daniel Masethe,Mosima Anna Masethe, “Prediction of heart disease using classification algorithms”, World congress on engineering and computer science, vol.II Oct 2014.

  • Mr.Amol A.wghmode,Mr.Darpan Sawant,” Heart disease prediction using Data mining techniques”, International journal of engineering technology science and research, vol.4 Oct 2017.

  • Boshra Bahrami, Mirsaid J.Hosseinin Shrivani,”prediction and diagnosis of heart disease by data mining techniques” JMEST, vol.2 Feb 2015.

  • Ankur makwana, Jayamin patel.” Decision support system for heart disease prediction using data mining classification techniques”, International journal of computer application, vol.117, May 2015.

  • J. Vijayashree and N.Ch.Sriman Narayana Iyengar “Heart disease prediction system using data mining and hybrid intelligent techniques: A review”, International journal of bio-science and bio-technology, vol.8, no. 4(2016).

  • H. Benjamin Fedrick David and S. Antony belcy, “Heart disease prediction using data mining techniques”, ICTACT Journal on soft computing, oct 2018, vol.9.

  • V. Kirubha, S. Manju Priya, “Survey on data mining algorithms in disease prediction”, International journal of computer trends and technology (IJCTT), vol 38, Aug 2016.

  • Dr. K. Aravinthan, “Heart attack prediction using data mining techniques”, International journal of pure and applied mathematics, vol 119, 2018.

  • S. Sharmila, Dr.M.P. Indra Gandhi, “Analysis of heart disease prediction using data mining techniques”, International journal of advanced networking and application (IJANA), vol 8, 2017.


Abstract Views: 444

PDF Views: 0




  • Prediction of Coronary Heart Disease using Algorithms in Data Mining

Abstract Views: 444  |  PDF Views: 0

Authors

S. Devi
Department of Computer Applications, S.A. Engineering College, India
S. Sridhar
Department of Computer Applications, S.A. Engineering College, India

Abstract


Data mining is the process of examining large databases in order to generate new information. Data mining in health care plays a major role. Healthcare industry generates large amounts of complex data about patients, hospital resources, disease diagnosis, electronic patient records, medical devices etc., Heart disease is a term for a number of different diseases which affects our heart. Common heart diseases are cardiovascular disease, Carotid Artery Disease (CAD), Coronary Heart Disease (CHD), Peripheral Artery Disease (PAD), Chronic Heart Disease (CKD) and stroke.  The objective of this paper is to evaluate different classification technique in heart disease forecasting like Naive Bayes and K-Nearest Neighbor algorithms.


Keywords


Data Mining, Naïve Bayes, K-Nearest Neighbor and Dataset.

References