A Smart Prediction Tool for Cardiovascular Heart Diseases Using AFSO Algorithm
Today, we are living in the modern digital world, which leads to human life in terms of time-dependent. This time-dependent work leads to many new kinds of diseases due to environmental degradation. In developing countries like India, Heart diseases are gradually increased compared to the last decades. This proposed work consists of three parts, the first part is to develop and deploy a simulation tool to predict the level of heart diseases using proposed Artificial Fish Swarm Optimization. This proposed work is predicted based on the observed and predicted datasets provided by the hospitals. The second part is to predict the activities like searching, swarming and chasignation. The final part is to evaluate the performance of the proposed AFSO algorithm and to prove the efficiency and effectiveness of the proposed algorithm.