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An Intelligent Real-time Heart Diseases Diagnosis Algorithm

Among all diseases, the heart diseases are responsible for highest number of deaths in the world especially in undeveloped countries. One of the reasons for this high mortality rate is due to delayed diagnosis based on ECG records. On the other hand, the heart diseases are computationally complex and intensive, and are difficult to manually analyze. Therefore, with the increase in the growth of heart disease databases and information, a high performance computing and easy to use programming environment is required to solve medical application. In this work we have proposed development an Intelligent Heart Diseases Diagnosis Algorithm (IHDDA) which reads heart signals (e.g. ECG graphs etc.) and reaches on a flawless diagnosis in fraction of seconds. The proposed algorithm executed on a supercomputing cluster and tested with 300 patients of different heart problems, the results shows that the IHDDA identify heart problem in 1.5 seconds with an accuracy of 97%.