An Evolutionary Algorithm for Heart Disease Prediction
作者： M. A. Jabbar , B. L. Deekshatulu , Priti Chandra
DOI: 10.1007/978-3-642-31686-9_44
关键词: Machine learning 、 Association rule learning 、 Domain (software engineering) 、 Rule induction 、 Artificial intelligence 、 Evolutionary computation 、 Computer science 、 Evolutionary algorithm 、 Health care 、 Cluster analysis 、 Genetic algorithm
摘要: This Paper focuses a new approach for applying association rules in the Medical Domain to discover Heart Disease Prediction. The health care industry collects huge amount of data which,unfortunately are not mined hidden information effective decision making.Discovery patterns and relationships often goes unexploited. Data mining techniques can help remedy this situation.Data have found numerous applications Business Scientific domains.Association rules,classification,clustering major areas interest mining. Among these,association been very active research area.In our work Genetic algorithm is used predict more accurately presence Andhra Pradesh Population.The main motivation using discovery high level Prediction that they perform global search cope better with attribute interaction than greedy rule induction algorithms Mining.
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