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Classification of Heart Disease Using K- Nearest Neighbor and Genetic Algorithm

M. Akhil jabbar, B.L. Deekshatulu, Priti Chandra
2013 Procedia Technology - Elsevier  
Data mining techniques have been widely used to mine knowledgeable information from medical data bases. In data mining classification is a supervised learning that can be used to design models describing important data classes, where class attribute is involved in the construction of the classifier. Nearest neighbor (KNN) is very simple, most popular, highly efficient and effective algorithm for pattern recognition.KNN is a straight forward classifier, where samples are classified based on the
more » ... ified based on the class of their nearest neighbor. Medical data bases are high volume in nature. If the data set contains redundant and irrelevant attributes, classification may produce less accurate result. Heart disease is the leading cause of death in INDIA. In Andhra Pradesh heart disease was the leading cause of mortality accounting for 32%of all deaths, a rate as high as Canada (35%) and USA.Hence there is a need to define a decision support system that helps clinicians decide to take precautionary steps. In this paper we propose a new algorithm which combines KNN with genetic algorithm for effective classification. Genetic algorithms perform global search in complex large and multimodal landscapes and provide optimal solution. Experimental results shows that our algorithm enhance the accuracy in diagnosis of heart disease.
doi:10.1016/j.protcy.2013.12.340 fatcat:eabeaqhy2nf45h2lydqxmppsje

Future Trends of Data Mining in Predicting the Various Diseases in Medical Healthcare System

Shubpreet Kaur, R. K. Bawa
2015 International Journal of Energy Information and Communications  
Jyoti Soni [22] 2011 Heart Disease Predictive data mining for medical diagnosis: An overview of heart disease prediction Akhil jabbar et al [11] 2012 Heart Disease Proposed a system for heart disease  ...  Heart Cleveland heart disease database Akhil jabbar et al [11] heart UCI machine Learning repository Kawsar Ahmed et al [23] [7] Lung cancer, skin Cancer Different diagnostic centres Abhishek Taneja  ... 
doi:10.14257/ijeic.2015.6.4.02 fatcat:6bzxxgo7zreb7dkrnpvkrepheq

VTC2020-Spring 2020 Committees

2020 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)  
Kovács Ghassan M.  ...  Nguyen Nhan Nguyen-Thanh Marcin Dryjański Changlai Du Jianbo Du Wei Duan Diego Dupleich Johannes M.  ... 
doi:10.1109/vtc2020-spring48590.2020.9129648 fatcat:mdxna7e32bcjffuaqqkb6dxsdu

Prediction of By-Diseases in Diabetic Patients Using Associative Classification with Improved Classifier Accuracy for Decision Support System

2019 International Journal of Engineering and Advanced Technology  
Akhil Jabbar et al [1] in their Prediction of By-Diseases in Diabetic Patients Using Associative Classification with Improved Classifier Accuracy for Decision Support System Shahebaz Ahmed Khan, M A  ...  Jabbar research have proposed a method for heart disease classification system with the help of the idea of associative classification combined with genetic algorithms.  ... 
doi:10.35940/ijeat.f8654.088619 fatcat:hgtucbyoura47g5hteaiaqykqe

Review of Techniques used to find the Possibility of Getting Heart Related Disease

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
M. Akhil Jabbar et al. (2013) Figure 2 : 2 Above image shows the similar datapoint exist in close proximity Figure 3 : 3 Above image shows the hyperplane between two classes.  ... 
doi:10.35940/ijitee.j7441.0891020 fatcat:euz2hx4gx5c5fdcucna6o733he

Analysis of Heart Disease Prediction System using Data Mining Techniques

Mrs. K. Pushpalatha
2019 International Journal for Research in Applied Science and Engineering Technology  
M. Akhil jabbar et al. [7] presented an effective classification technique based genetic algorithm is used for heart disease prediction.  ... 
doi:10.22214/ijraset.2019.4002 fatcat:4u524kzykjhuboxeqk6ryi2g6u

MEDICAL DATA CLASSIFICATION USING DIFFERENT OPTIMIZATION TECHNIQUES: A SURVEY

Balasaheb Tarle .
2016 International Journal of Research in Engineering and Technology  
M. Akhil Jabbar et al. [57] have proposed a combined approach of KNN and genetic algorithm for improving classification accuracy of heart disease data set.  ...  Jabbar et al. [46] used association rules in medical data mining to make accurate decisions.  ... 
doi:10.15623/ijret.2016.0517022 fatcat:xzn4l6axejhnvb6c55c7nwr5j4

Data Mining, Soft Computing, Machine Learning and BioInspired Computing for Heart Disease Classification/ Prediction – A Review

M. Rathi, B. Narasimhan
2017 International Journal of Advanced Research in Computer Science and Software Engineering  
Akhil Jabbar et al. [11] proposed a new algorithm which combines KNN with genetic algorithm for effective classification of heart disease.  ... 
doi:10.23956/ijarcsse/v7i4/0156 fatcat:6umrnxncxve55ejgzpkhaeoxpy

Optimal Fuzzy Min-Max Neural Network (FMMNN) for Medical Data Classification Using Modified Group Search Optimizer Algorithm

D Rafi, Chettiar Bharathi
2016 International Journal of Intelligent Engineering and Systems  
M. Akhil jabbar et al [22] have proposed a combines approach of KNN and genetic algorithm have to improve the classification accuracy of heart disease data set.  ...  M. A. Jabbar et al [16] have proposed a method that to discover association rules in medical data to predict heart disease for Andhra Pradesh.  ... 
doi:10.22266/ijies2016.0930.01 fatcat:jl3ixse4jbdytc4oir5tenmxpa

A Study of Some Data Mining Classification Techniques

Mr Sudhir, M Gorade, Ankit Deo, Preetesh Purohit
International Research Journal of Engineering and Technology   unpublished
In 2013 Akhil Jabbar et al. proposed "Classification of Heart Disease using Artificial Neural Network and Feature Subset Selection".  ...  Fig.3 -Characteristis of a Classifier LITERATURE SURVEY In 2012 Akhil jabbar et al. proposed "Heart Disease Prediction System using Associative Classification and Genetic Algorithm".  ... 
fatcat:ygkh4nr4b5hdzkswb4iiqbbej4

Early Identification of Diseases Based on Responsible Attribute Using Data Mining

Mr Sudhir, M Gorade, Ankit Deo, Preetesh Purohit
2017 International Research Journal of Engineering and Technology (IRJET)   unpublished
In 2012 M. Akhil jabbar et. al proposed "Heart Disease Prediction System using Associative Classification and Genetic Algorithm".  ...  In 2013 M. Akhil Jabbar et al proposed "Classification of Heart Disease using Artificial Neural Network and Feature Subset Selection".  ... 
fatcat:qjtidpgi7rhgxnkpbvhbz3si6a

energies-12-00197.pdf

John Smith
2020 Figshare  
Lyu, Hailong M.  ...  Garg, Akhil Gargano, Francesco Garicano-Mena, Jesús Garrido-Jurado, Juan Garrigós, Ausias Garrote, Gil Garvey, Seamus D.  ... 
doi:10.6084/m9.figshare.12568028.v1 fatcat:3qkbd2bpabdr5f4ragt6nu3654

Integrity and Security in Cloud Computing Environment: A Review

Safa S. Abdul-Jabbar, Ali Aldujaili, Saja G. Mohammed, Hiba S. Saeed
2020 Journal of Southwest Jiaotong University  
- AES and VKC 2018 Akhil et al. [23] - - Increases data security during storage and transfer.  ...  . - AES, PGP k algorithms, and SSL l 2017 Raza et al. [22] VKC m - A collaborative solution. - Avoid time attacks in the cache in the cloud environment.  ... 
doi:10.35741/issn.0258-2724.55.1.11 fatcat:bltmkj6bzbfefjp26wn6pylyne

Web intrusion detection system combined with feature analysis and SVM optimization

Chao Liu, Jing Yang, Jinqiu Wu
2020 EURASIP Journal on Wireless Communications and Networking  
Jabbar Akhil proposes an intelligent network intrusion detection system using AODE algorithm for the detection of different types of attacks [5] , and average one dependence estimator (AODE) is one of  ...  The time complexity of the SVM algorithm is Ο(m 2 n 2 ) which is closely related to the number of samples (m) and the dimension of the feature (n).  ... 
doi:10.1186/s13638-019-1591-1 fatcat:wz3usb3cbnfz5miet5otas7qpe

CORONARY ARTERY DISEASE (CAD) PREDICTION AND CLASSIFICATION-A SURVEY

Rajkumar, Anandakumar, Bharathi
2016 unpublished
K-Nearest Neighbor and Genetic Algorithm M. Akhil jabbar et al., 2013 deals with classifying the heart disease.  ...  The performance results given by M. Akhil jabbar et al., 2013 is shown in Table-1. Weighted fuzzy rules P.K.  ... 
fatcat:ltvhjztfdzhvtdyb5hlee6oymm
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