Decision Support in Heart Disease Prediction System using Naive Bayes
Journal Title: Indian Journal of Computer Science and Engineering - Year 2011, Vol 2, Issue 2
Abstract
Data Mining refers to using a variety of techniques to identify suggest of information or decision making knowledge in the database and extracting these in a way that they can put to use in areas such as decision support, predictions, forecasting and estimation. The healthcare industry collects huge amounts of healthcare data which, unfortunately, are not “mined” to discover hidden information for effective decision making. Discovering relations that connect variables in a database is the subject of data mining. This research has developed a Decision Support in Heart Disease Prediction System (DSHDPS) using data mining modeling technique, namely, Naïve Bayes. Using medical profiles such as age, sex, blood pressure and blood sugar it can predict the likelihood of patients getting a heart disease. It is implemented as web based questionnaire application. It can serve a training tool to train nurses and medical students to diagnose patients with heart disease.
Authors and Affiliations
Mrs. G. Subbalakshmi , Mr. K. Ramesh , Mr. M. Chinna Rao
Keywords
Related Articles
- EP ID EP160577
- DOI -
- Views 94
- Downloads 0
IMPACT OF GRID BASED ORMT ON VARIOUS CASE STUDIES
Optimal Resource management Techniques (ORMT) will provide an efficient Grid Resource allocation automatically for a user who is submitting the job without grid knowledge, design a Grid service (portal) for selects the B...
Comparison of Color Features for Image Retrieval
Content based image retrieval (CBIR) systems are used for automatic indexing, searching, retrieving and browsing of image databases. Color is one of the important features used in CBIR systems. An experimental comparison...
BIO-PROGRAMMING PROSPECTS OF JAVA: A COMPUTATIONAL MOVE TOWARDS THE UNDERSTANDING OF THE BIOLOGICAL ASPECTS OF GENES AND PROTEINS
Java is a powerful object oriented programming language that dominates many other programming languages for more than a decade. It is well designed and available as many executable technologies for software development s...
DATA MINING TECHNIQUES AND APPLICATIONS
Data mining is a process which finds useful patterns from large amount of data. The paper discusses few of the data mining techniques, algorithms and some of the organizations which have adapted data mining technology to...
Optimal Spectral Analysis for detection of sinusitis using Near-Infrared Spectroscopy (NIRS)
Optical recording technique overtakes neural recording technique for simplicity, non-ionization, portability, non-invasiveness and cost effectiveness. Many optical techniques like FMRI, DOT, SPR, ERP and PPG are in use n...