• Ranjitha V
• Priyanka N
• Sowmya T R
• Manikanta K B

Prosperous area of study is data mining which is solitary and in health organizations it is widespread. Most helpful in data mining is extricating buried knowledge from medical raw facts and figures. As a medical data is an enormous which make use of data analytics tool for disentangling the patterns that are necessary? Syndrome Identification as become most popular field for the researchers in data mining where they justify the techniques that is either single or compound data mining technique is used. Medical data is a source which contains patient’s regular care (patients, hospital, disease etc. in detail). In the present the main cause for demise of human is because of cardiac related syndromes. Life frightening disease is Cardiac syndrome that leads to death. To overcome such hazardous issues many medical scholars are involved in research in medical data. Examining medical data to get different parameters like age, gender, chest pain, heart rate etc. that are classified with KNN, decision tree and enhanced decision tree where data can be in the structural form where the strict statistics(that is both precision and recall) of people who are about to agonize can be anticipated.

KNN, decision tree, enhanced decision tree, precision and recall

"Forecasting Cardiac Syndrome through Data Mining Outfits exploration", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.1-4, December-2018, Available :http://www.jetir.org/papers/JETIR1812801.pdf

"Forecasting Cardiac Syndrome through Data Mining Outfits exploration", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp1-4, December-2018, Available at : http://www.jetir.org/papers/JETIR1812801.pdf