An Analysis of Pneumonia Prediction Approach Using Deep Learning

Abstract

A bacterial infection in the lungs' alveoli frequently results in pneumonia, an infectious disease. Pus occurs in infected lung tissue as it gets irritated. To ascertain whether a patient has pneumonia, experts perform physical examinations and diagnose their patients using a chest X-ray, ultrasound, or lung biopsy. A patient's mortality may result from a misdiagnosis, ineffective treatment, or disregard for the disease. The development of deep learning aids specialists in their decision-making when it comes to diagnosing pneumonia patients. The study uses six CNN models to predict and identify a patient with and without the condition using an X-ray image of their chest. It combines versatile and affordable deep learning approaches.