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

M.A.Jabbar, B.L Deekshatulu, Priti Chandra
2015 arXiv   pre-print
of their nearest neighbor.  ...  Experimental results shows that our algorithm enhance the accuracy in diagnosis of heart disease.  ...  is used mainly when all the attributes are continuos.Simple K nearest neighbor algorithm is shown in figure 1 Fig 1.K nearest neighbor algorithm Steps 1) find the K training instances which are closest  ... 
arXiv:1508.02061v1 fatcat:ugb7dmhktranrfo6bn5a34xlni

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

M. Akhil jabbar, B.L. Deekshatulu, Priti Chandra
2013 Procedia Technology - Elsevier  
of their nearest neighbor.  ...  Experimental results shows that our algorithm enhance the accuracy in diagnosis of heart disease.  ...  is used mainly when all the attributes are continuos.Simple K nearest neighbor algorithm is shown in figure 1 Fig 1.K nearest neighbor algorithm Steps 1) find the K training instances which are closest  ... 
doi:10.1016/j.protcy.2013.12.340 fatcat:eabeaqhy2nf45h2lydqxmppsje

Genetic Algorithm to Optimize k-Nearest Neighbor Parameter for Benchmarked Medical Datasets Classification

Rizki Tri Prasetio
2020 JOIN: Jurnal Online Informatika  
The genetic algorithm were used for feature selection and parameter optimization while k-nearest Neighbor were used as a classifier.  ...  Integrates the search heuristic that is inspired by natural evolution called genetic algorithm with the simplest and the most used learning algorithm, k-nearest Neighbor.  ...  ACKNOWLEDGEMENTS This study is supported by The Ministries of Research, Technology, And Higher Education of Republic Indonesia.  ... 
doi:10.15575/join.v5i2.656 fatcat:f6fr4naqjrhupg6jmeadsh2fc4

Linear Discriminant Analysis for An Efficient Diagnosis of Heart Disease via Attribute Filtering Based on Genetic Algorithm

Rania Salah El-Sayed
2018 Journal of Computers  
The classification techniques such as Support Vector Machines, Naive Bayesian Theorem, nearest neighbor and Linear discriminant analysis are used in this paper to know the classification accuracy of the  ...  This system will use attribute filtering techniques genetic algorithm that has been known to be a very adaptive and efficient method of feature selection and reduce number of attributes which indirectly  ...  In 2013 [3] , M.Akhil jabbar et al. introduces Classification of Heart Disease Using K-Nearest Neighbor and Genetic Algorithm.  ... 
doi:10.17706/jcp.13.11.1290-1299 fatcat:a65qdfvrujhvvkmlmpqke4gxrq

Predictive data mining approaches in medical diagnosis: A review of some diseases prediction

Ramin Ghorbani, Rouzbeh Ghousi
2019 International Journal of Data and Network Science  
Heart disease, breast cancer, and diabetes are among the most dangerous ones. This paper investigates 168 articles associated with the implementation of data mining for diagnosing such diseases.  ...  Data mining is the process of determining and analyzing hidden information from different perspectives to obtain useful knowledge.  ...  The proposed technique combines rule mining using Apriori algorithm and Mafia algorithm as well as classification using K-Nearest Neighbors algorithm to predict the heart diseases efficiently.  ... 
doi:10.5267/j.ijdns.2019.1.003 fatcat:tzavawufrfcy3djjeo2dve63fm

Heart Disease Prediction using Machine Learning Techniques

Devansh Shah, Samir Patel, Santosh Kumar Bharti
2020 SN Computer Science  
This research paper presents various attributes related to heart disease, and the model on basis of supervised learning algorithms as Naïve Bayes, decision tree, K-nearest neighbor, and random forest algorithm  ...  This research paper aims to envision the probability of developing heart disease in the patients. The results portray that the highest accuracy score is achieved with K-nearest neighbor.  ...  This article is part of the topical collection "Advances in Computational Approaches for Artificial Intelligence, Image Processing, IoT and Cloud Applications" guest edited by Bhanu Prakash K N and M.  ... 
doi:10.1007/s42979-020-00365-y fatcat:cvldc6jdgrfgje7wfjabgis3nu

A Survey on Diagnosis of Heart Diseases using Data Mining Techniques

Tashrifa Shahid, Ferdousi Barira
2021 International Journal of Computer Applications  
In this paper, heart diseases have been chosen for diagnosis and classification.  ...  To understand the major data mining techniques and select the suitable category of algorithms, the analysis result will help for heart disease analysis.  ...  K-Nearest neighbor algorithm The k-nearest neighbor's algorithm (k-NN) is a method for classifying objects based on closest training data in the feature space.  ... 
doi:10.5120/ijca2021921116 fatcat:yjmwk6sfejemfbasaaezxjybsy

Comparison between Various Approaches for Customer Relationship Management in Data Mining

Surabhi Aggarwal, Er. Neena Madan
2016 International Journal Of Engineering And Computer Science  
In this paper various techniques used for CRM in data mining are defined and compared with each other. Data mining is a useful and powerful tool for any organization especially for marketing people.  ...  Data mining is used in managing relationships with customers. Data mining process can be extremely useful for Medical practitioners for extracting hidden medical knowledge.  ...  Fuzzy k-Nearest Neighbor Algorithm (FKNN): The k-nearest neighbor algorithm (KNN) is one of the oldest and simplest non parametric pattern classification methods.  ... 
doi:10.18535/ijecs/v5i4.41 fatcat:eqngb76crzbl5drkvfojcskyji

Heart Disease Prediction Using Extended KNN(E-KNN)

2020 International Journal of Advanced Trends in Computer Science and Engineering  
In this study we are using an extension of KNN algorithm known as E-KNN and compare the results with K-Nearest Neighbor(KNN) , Support Vector Machine(SVM) and Classification and Regression Trees (CART)  ...  [14] in the prediction of heart disease.  ...  Diagnosing of heart diseases using average k-nearest neighbor algorithm of data mining, 3rd International Conference on Computing for Sustainable Global Development (INDIACom), New Delhi, 3099-3103. 11  ... 
doi:10.30534/ijatcse/2020/272952020 fatcat:3dkqdqloavbsxauxbunpy5oe5q

A systematic review and analysis of the heart disease prediction methodology

Animesh Kumar Dubey, Kavita Choudhary
2018 International Journal of Advanced Computer Research  
Conflicts of interest The authors have no conflicts of interest to declare.  ...  [18] proposed a method of classifying heart disease using k-nearest neighbor and genetic algorithm (GA).  ...  They used the combination of PSO with k-nearest neighbor algorithm to predict the risk of congenital heart diseases.  ... 
doi:10.19101/ijacr.2018.837025 fatcat:dbsmeosjcvdzzpsudkz4ysc52i

Comparative study on data mining techniques used to predict risk of Heart Disease

Tejali Chandrakant Mhatre, Satishkumar Varma
2019 International Journal Of Engineering And Computer Science  
Heart disease is considered as one of the major causes of death throughout the world. Classification of heart disease can be valuable for medical practitioners to predict disease at early stage.  ...  To get accurate result of prediction of disease medical diagnosis system very useful. There are different data mining techniques available to classify medical data related to heart disease.  ...  K nearest neighbor K-nearest neighbor classification algorithm is a well-known method for classifying an unseen instance. It is done by classifying the instances closest to it.  ... 
doi:10.18535/ijecs/v8i08.4354 fatcat:4nxemamcrbh6zmtuldx7andq2m

Classification of Heart Disease Hungarian Data Using Entropy, Knnga Based Classifier and Optimizer

Shweta Gupta, . .
2018 International Journal of Engineering & Technology  
To evaluate the performance of the proposed approach Hungarian dataset (UCI learning) is used to classify the attributes of heart disease.  ...  The samples of the medical databases are classified on the basis of nearest neighbor in which medical database are massively found in nature and contains irrelevant and redundant attributes.  ...  The outline of the proposed methodology and its formula is described below: K-Nearest Neighbour K nearest neighbor(KNN) may be a straightforward algorithmic program, that stores all cases and classify  ... 
doi:10.14419/ijet.v7i4.5.20092 fatcat:ldpgkpkl6zdinira2aoeche4gu


Lakshmi Devasena. C .
2016 International Journal of Research in Engineering and Technology  
It is crucial to find the best fit classification algorithm that has greater accuracy on classification in heart disease prediction.  ...  Identification of heart disease is a momentous and difficult task in medicine.  ...  ACKNOWLEDGMENT The author expresses her deep gratitude to the Management of IBS Hyderabad, IFHE University for the support and motivation provided for the research work.  ... 
doi:10.15623/ijret.2016.0519003 fatcat:ncj7yoeyq5adxfy4e7cqqoijyq

Cardiovascular Disease Prediction Using Machine Learning

Digvijay Kumar, Bavithra
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
Such as Logistic Regression, Support Vector Machines (SVM), K-Nearest Neighbors (KNN), Naive Bayes, Random Forest, and ensemble models which are Supervised Learning algorithms.  ...  Heart-related diseases or Cardiovascular Diseases (CVDs) are the most common and main reasons for a huge number of deaths in the world, not only in India but in the whole world.  ...  Recall = TP/(TP+FN) F1 score: What percent of positive predictions were correct F1 Score = 2*(Recall * Precision) / (Recall + Precision) Classification report of K-nearest neighbor Mean Squared Error(MSE  ... 
doi:10.32628/cseit20659 fatcat:5u4dihm6vvdk7hh7zy5p3fcz5m

Combining Akaike's Information Criterion (AIC) and the Golden-Section Search Technique to find Optimal Numbers of K-Nearest Neighbors

Asha Gowda Karegowda, M.A. Jayaram, A.S. Manjunath
2010 International Journal of Computer Applications  
K-nearest neighbor (KNN) is one of the accepted classification tool . Classfication is one of the foremost machine-learning tools used in field of medical data mining.  ...  However, one of the most complicated tasks in developing a KNN is determining the optimal number of nearest neighbors, which is usually obtained by repeated experiments for different values of K, till  ...  The procedure to find the optimal number of neighbors for k nearest neighbor classification is given as follows. Step 1.  ... 
doi:10.5120/609-859 fatcat:hgtkpmaworasplv32243i7fpsu
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