Use of Chest X-Rays in Predicting Pneumonia
Keywords:
CNN (convolutional neural network), Random Forest, Decision Tree, KNN (K nearest neighbour).Abstract
Pneumonia is a fatal infection that affects one or both lungs in humans and is often caused by Streptococcus
pneumonia. The aim of the current study was to examine risk factors for death from pneumonia in young children.
Therefore, implementing an autonomous pneumonia detection system would be beneficial, especially in remote areas,
as it could save many lives and help prevent, treat and control the disease.
In this paper, different models like KNN, Random Forest, Decision Tree and CNN were trained from 5856 dataset
images at 64 x 64 pixel resolutions. As KNN, Random Forest and Decision Tree are traditional models with around
70-80% accuracy, which are used widely, we intend to use CNN and hope to increase the efficiency to detect the
pneumonia from the pictures. Statistical results show that the trained model was able to detect pneumonia by
examining chest X-ray images.
