Novel Diagnostic System for COVID-19 Pneumonia Using Forward Propagation of Convolutional Neural Network Comparing with Artificial Neural Network

To enhance the poor diagnosing system for detecting COVID pneumonia using AI and to compare the algorithms and their performances in diagnosis prediction. Materials and methods: The technique of Convolutional Neural Network (CNN) with forward propagation for the feature extraction from X-ray images of patients diagnosis. The implementation has been carried out with the help of Tensorflow and Keras. The algorithms tested over 700 sets of chest X-ray images which has been utilized for test and train dataset images respectively, that are user chest X-rays classified and predicted with the novel diagnosis. Result: The analysis on the dataset and test cases has been performed successfully and acquired 91% accuracy for the CNN with forward propagation algorithm and compared to the artificial neural network algorithm (ANN), which gave 73% accuracy. With the level of significance (p