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Knowledge Discovery Using Associative Classification for Heart Disease Prediction [chapter]

M. A. Jabbar, B. L. Deekshatulu, Priti Chandra
2013 Advances in Intelligent Systems and Computing  
In this paper we proposed a new method to discover association rules in medical data to predict heart disease for Andhra Pradesh.  ...  Data mining techniques have been used in medical diagnosis for many years and have been known to be effective.  ...  In our future work we will try to incorporate to generate patterns using Advanced data mining techniques for heart disease prediction.  ... 
doi:10.1007/978-3-642-32063-7_4 fatcat:cqvrguomfjaa3pblob57htgo5q

Predictive Data Mining for Medical Diagnosis: An Overview of Heart Disease Prediction

Jyoti Soni, Ujma Ansari, Dipesh Sharma, Sunita Soni
2011 International Journal of Computer Applications  
attribute sufficient for heart disease prediction.  ...  This research paper intends to provide a survey of current techniques of knowledge discovery in databases using data mining techniques that are in use in today"s medical research particularly in Heart  ...  List of attributed used in association rule discovery for Heart Disease prediction.  ... 
doi:10.5120/2237-2860 fatcat:bnwurqgxejcqbcmb5qhnho7j6i

A Survey On Data Mining Techniques To Find Out Type Of Heart Attack

Prof. Gondkar Mayura D
2014 IOSR Journal of Computer Engineering  
The obtainability of massive expanses of medical data leads to the need for powerful data analysis tools to extract useful information.  ...  However, there is a task of effective analysis tools to discover trends in data , hidden relationships , Knowledge discovery and data mining have found numerous application in business and scientific domain  ...  Heart disease prediction using associative classification was proposed by M.A. Jabbar [6] . Matrix based association rule mining for heart disease prediction was proposed by M.A.  ... 
doi:10.9790/0661-16150105 fatcat:dy66ntdxzrbaxd6t2v3ijh4ew4

Survey of Data Mining Techniques used in Healthcare Domain

Sheenal Patel, Hardik Patel
2016 International Journal of Information Sciences and Techniques  
This paper features various Data Mining techniques such as classification, clustering, association and also highlights related work to analyse and predict human disease.  ...  In last decade, there has been increase in usage of data mining techniques on medical data for determining useful trends or patterns that are used in analysis and decision making.  ...  Coronary Heart Disease Improving classification accuracy using Naive Bayesian [21] [30] . Chronic Disease Prediction of Diseases Using Apriori Algorithm [22] .  ... 
doi:10.5121/ijist.2016.6206 fatcat:obbnbm7mrbed7ikqxbe2uqe4yy

The impact of data mining techniques on medical diagnostics

Siri Krishan Wasan, Vasudha Bhatnagar, Harleen Kaur
2006 Data Science Journal  
We identify a few areas of healthcare where these techniques can be applied to healthcare databases for knowledge discovery.  ...  Medical data mining has great potential for exploring the hidden patterns in the data sets of the medical domain. These patterns can be utilized for clinical diagnosis.  ...  Scales & Embrechts (2002) have used artificial neural networks and fuzzy logic to build a model for heart disease prediction.  ... 
doi:10.2481/dsj.5.119 fatcat:dmgpspofgbdvbkyysu5ivzkjli

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  
This paper investigates 168 articles associated with the implementation of data mining for diagnosing such diseases.  ...  Today, many diseases are regarded as dangerous and deadly. Heart disease, breast cancer, and diabetes are among the most dangerous ones.  ...  Singh et al. (2018b) developed an effective heart disease prediction system using the Neural Network for predicting the risk level of heart disease.  ... 
doi:10.5267/j.ijdns.2019.1.003 fatcat:tzavawufrfcy3djjeo2dve63fm

Heart Disease Prediction System Using Data Mining and Hybrid Intelligent Techniques: A Review

J. Vijayashree, N.Ch. Sriman NarayanaIyengar
2016 International Journal of Bio-Science and Bio-Technology  
The computer aided systems help the doctor as a tool for predicting and diagnosing heart disease.  ...  The objective of this review is to widespread about Heart related cardiovascular disease and to brief about existing decision support systems for the prediction and diagnosis of heart disease supported  ...  Knowledge Discovery in Database Decision support systems was developed using a knowledge base.  ... 
doi:10.14257/ijbsbt.2016.8.4.16 fatcat:4vujlbyp6ff63eg5vst5r4easu

Mining Medicinal Information using Flowers

S. Vigneswari, S. S. Dhenakaran
2014 International Journal of Computer Applications  
The objective of the proposed work is the association of data and prediction of treatment to cure diseases using flowers.  ...  Based upon the medicinal worthiness, the vitamin contents, in the flowers, prediction is made for the treatment of diseases.  ...  N.Deepika, K.Chandra Shekar, D.Sujatha [4] worked upon the Association Rules for classification of Heart-Attack Patients which presents about the various effective heart attack prediction system using  ... 
doi:10.5120/16726-6915 fatcat:oja2npd4x5fi3jylhgi7agflqe

Predicting outcomes of hospitalization for heart failure using logistic regression and knowledge discovery methods

Kirk T Phillips, W Nick Street
2005 AMIA Annual Symposium Proceedings  
The purpose of this study is to determine the best prediction of heart failure outcomes, resulting from two methods -- standard epidemiologic analysis with logistic regression and knowledge discovery with  ...  Heart failure was chosen for this study as it exhibits higher prevalence and cost of treatment than most other hospitalized diseases.  ...  Knowledge discovery databases with data mining present opportunities for organizing and analyzing large databases, including data from existing administrative sources.  ... 
pmid:16779367 pmcid:PMC1560853 fatcat:y6glpsz6vfckjhw4kntuvd777a

Heart Disease Prediction with MapReduce by using Weighted Association Classifier and K-Means

K. Rajalakshmi, K. Nirmala
2016 Indian Journal of Science and Technology  
Finding: This paper is presenting a novel technique like K-Means, Weighted Associative Classifier (WAC) and Prediction Tree C5.0 for analyzing the heart disease and to sort out the existing issues.  ...  The existing system in the medical field is not able to extract all the information and knowledge from the heart disease database.  ...  WAC is providing an efficient way to employ the classification process with Association Rule Discovery, which improves the prediction correctness for classification; The WAC is using the weighted support  ... 
doi:10.17485/ijst/2016/v9i19/93827 fatcat:vmewzkdfqfging2exlalwh5hbe

Efficient Data Mining Techniques for Heart Disease Prediction and Comparative Analysis of Classification Algorithms

Md. Ashikur Rahman Khan, Masudur Rahman, Jayed Us Salehin, Md. Saiful Islam, Md. Fazle Rabbi
2021 Asian Journal of Research in Computer Science  
Data mining provides the techniques for fast and accurate transformation of data into useful information for heart diseases prediction.  ...  The main objectives of this research is to predict heart diseases more accurately using Naïve Bayes, J48 Decision Tree, Neural Network, Random Forest classification algorithms and compare the performance  ...  Evaluation and Comparisons of Classification Algorithms In order to evaluate the performance and usefulness of four different classification algorithms for predicting Heart disease WEKA tool is used.  ... 
doi:10.9734/ajrcos/2021/v12i230281 fatcat:wsor5smtujffdkd6ym466fdoli

An Intelligent and Electronic System based Classification and Prediction for Heart Disease Diagnosis

Basheer Mohammed Al-Maqaleh
This research has developed a prototype An Intelligent System based Classification and Prediction for Heart Disease Diagnosis using data mining techniques, namely, Decision Trees, Naïve Bayes and Neural  ...  An Intelligent System based Classification and Prediction for Heart Disease Diagnosis using data mining techniques can answer complex "what if" queries which traditional decision support systems cannot  ...  Acknowledgment is also for the support of Dr. Hamoud Al-moleky who kindly provided this research with database used in this study.  ... 
doi:10.18535/ijetst/v3i05.17 fatcat:46gkrwla5nhejcnhjh4uvatfjy

Applications of Data Mining Techniques in Healthcare and Prediction of Heart Attacks

Kasikumar K, Asst. Professor,Department of Computer Science, Syed Hameedha Arts & Science College, Kilakarai. Ramanathapuram, Tamil Nadu, India, Mohamed Najumuddeen M, Suresh R, Department of Computer Applications, Syed Hameedha Arts & Science College, Kilakarai. Ramanathapuram, Tamil Nadu, India, Asst. Professor,Department of Computer Science, Syed Hameedha Arts & Science College, Kilakarai. Ramanathapuram, Tamil Nadu, India
2018 International Journal of Data Mining Techniques and Applications  
Using medical profiles such as age, sex, blood pressure and blood sugar it can predict the likelihood of patients getting a heart disease.  ...  It enables significant knowledge, e.g. patterns, relationships between medical factors related to heart disease, to be established.  ...  Data mining in contrast to traditional data analysis is discovery driven. B. Heart Disease The term Heart disease encompasses the diverse diseases that affect the heart.  ... 
doi:10.20894/ijdmta. fatcat:22rynqjrdjc67nbrxeljsvdc2a

Rough – Granular Computing knowledge discovery models for medical classification

Mohammed M. Eissa, Mohammed Elmogy, Mohammed Hashem
2016 Egyptian Informatics Journal  
A comparative analysis of various knowledge discovery models that use different knowledge discovery techniques for data pre-processing, reduction, and data mining supports medical experts to extract the  ...  The proposed models utilized two medical datasets: Coronary Heart Disease dataset and Hepatitis C Virus dataset.  ...  KDD seeks to gather knowledge by identifying relations between data attributes for predictions.  ... 
doi:10.1016/j.eij.2016.01.001 fatcat:kbugdzrcqrg6nlakri6h7yxgb4

Prediction of Diseases in Smart Health Care System using Machine Learning

2020 International journal of recent technology and engineering  
Data mining is one of the fields of computer science that uses the existing data in medical field to predict the occurrence of diseases.  ...  In the following paper the survey is made on how the data mining techniques are used along with the machine learning to predict the diseases based on the user symptoms.  ...  In the paper "Smart Health Prediction using Machine Learning" [7] the techniques like association rule mining, clustering, and classification algorithm such as decision tree are used for different heart  ... 
doi:10.35940/ijrte.e6482.018520 fatcat:flzljcvnbja5pakw6oynbe4iyi
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