Accelerated Diagnosis and Reporting of Patients using Analysis of Bulk Chest X-ray Images to Aid Impacted Healthcare System during Covid19

Abstract

This paper proposes Machine Learning based Methodology to assist Health staff to perform bulk reporting of patients on Chest X-ray images into Normal or Pneumonia diseased clusters which will be of assistance to currently overburdened health workers and possibly detect potential covid19 infected patients as pneumonia is known symptom of covid19 Also this paper demonstrates creating high accuracy models trained on existing clustered data capable of accurately predicting pneumonia in patients