Visual Analysis of Cardiac Arrest Prediction

Artificial Intelligence

In recent days most of the young people’s lose their lives due to cardiac arrest. This happens due to no prior prediction of Cardiac arrest. A heart attack, also known as cardiac arrest, encompasses colorful heart- related diseases and has been the leading cause of death worldwide in recent decades. Several medical data mining and machine literacy technologies are being applied to gather helpful knowledge regarding heart complaint vaticination. If we could able to predict the cardiac arrest prior we can prevent as much lives prior by preventing from disease. To overcome this problem, we are going to develop a model for prediction cardiac arrest. To develop a model for predicting Cardiac arrest we had chosen Artificial Intelligence Technology. The reason why we choose this technology is that it has both Machine Learning and Deep Learning which can handle large amount of data. Apart from handling large number data it can be able to handle picture data also and gives us the accurate prediction value. A visual analysis may directly prognosticate cardiac arrest, making it a potent educational tool for raising public mindfulness of health issues. By prognosticating cardiac arrest before, precautionary way can be taken to save lives, and the dispersion of similar health knowledge can dramatically lower the world mortality rate. As our technical feasibility is quite good, we would reach out results more successfully. Our critical aspects of project can be determined and probability of completing successfully will be reached by using AI and Machine learning techniques.

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