Heart disease prediction using lazy associative classification

摘要: Medical data mining is used to extract knowledgeable information from a huge amount of medical data. Associative classification rule based new approach which integrates association and classification, if applied on sets, lends them an easier interpretation. It selects small set high quality rules uses these for prediction. Heart disease rates among the major cause mortality in developing countries rapidly becoming so like India. India second most populous country world with estimated population over 1 billion. Rapid industrialization urbanization have resulted tremendous growth economy last decade. Concurrently has also seen exponential rise prevalence disease. predicted that CVD will be important by year 2015, A. P risk CVD. Hence decision support system should proposed predict score patient, help taking precautionary steps balanced diet medication turn increase life time patient. Through this paper we propose lazy associative prediction heart Andhra Pradesh present some experimental results physicians take accurate decisions.