REVIEW OF HEART DISEASE PREDICTION SYSTEM USING DATA MINING AND HYBRID INTELLIGENT TECHNIQUES
| Autor: | V. Seenivasagam, R. Chitra |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Decision support system
Hybrid Intelligent Algorithm lcsh:Computer engineering. Computer hardware Heart disease Artificial neural network Computer science business.industry Neural Network lcsh:TK7885-7895 Prediction system medicine.disease computer.software_genre Machine learning Data science Field (computer science) Computer Aided Decision Support System Clinical diagnosis medicine Heart Disease Prediction Healthcare industry Data mining Artificial intelligence business computer |
| Zdroj: | ICTACT Journal on Soft Computing, Vol 3, Iss 4, Pp 605-609 (2013) |
| ISSN: | 2229-6956 0976-6561 |
| DOI: | 10.21917/ijsc.2013.0087 |
| Popis: | The Healthcare industry generally clinical diagnosis is done mostly by doctor’s expertise and experience. Computer Aided Decision Support System plays a major role in medical field. With the growing research on heart disease predicting system, it has become important to categories the research outcomes and provides readers with an overview of the existing heart disease prediction techniques in each category. Neural Networks are one of many data mining analytical tools that can be utilized to make predictions for medical data. From the study it is observed that Hybrid Intelligent Algorithm improves the accuracy of the heart disease prediction system. The commonly used techniques for Heart Disease Prediction and their complexities are summarized in this paper. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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