Heart syndrome is a most important reason of mortality and death for people in most of the countries all over the world. There are many factors of heart disease that affecting the structure or function of the heart. These might be challenging for doctors to predict heart disease accurately. Therefore, it is important to utilize automated innovations in coronary illness conclusion to help specialists to determine quicker to have higher precisely. Researchers have developed many techniques such as data mining, soft computing and optimization techniques for diagnosing heart disease. In this paper, we present a survey paper on the use of swarm intelligence for the detection of heart disease. This survey helps to understand the different swarm intelligence techniques that are involved in diagnosis for heart disease. This paper is relevant to swarm intelligent techniques which are involved in prediction of heart disease. © 2016, International Journal Of Pharmacy and Technology. All rights reserved.