An Intelligent and Electronic System based Classification and Prediction for Heart Disease Diagnosis
Journal Title: International journal of Emerging Trends in Science and Technology - Year 2016, Vol 3, Issue 5
Abstract
The healthcare industry collects massive amounts of healthcare data which, unfortunately, are not “mined” to discover hidden information for effective decision making. Discovery of hidden patterns and relationships often goes unexploited. Advanced data mining techniques can help remedy this situation. 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 Network. Results show that each technique has its unique strength in realizing the objectives of the defined mining goals. 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. Using medical profiles such as age, sex, L.V and Ejection Fraction 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
Authors and Affiliations
Basheer Mohammed Al-Maqaleh
Keywords
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