Abstract
Increasing the Speed and Precision of Prediction of the Results of Angiography by Using Combination of Adaptive Neuro-Fuzzy Inference System and Particle Swarm Optimization Algorithm based on Data from Kowsar Hospital of Shiraz
Highlights
With regards to the importance of early prognosis of coronary artery diseases, in recent years the use of the latest artificial intelligence and data mining findings is considered to assist physicians
randomly in a manner that 85% of the data were used for training
The results of the simulation after 20 rounds of simulation with different training and testing data in system performance indicators displayed that the average of sensitivity
Summary
With regards to the importance of early prognosis of coronary artery diseases, in recent years the use of the latest artificial intelligence and data mining findings is considered to assist physicians.
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