A Review on Respiratory Disease Detection Using Machine Learning

Abstract

One of leading causes of death is lung diseases. It refers to disorders that affect the lungs, such as Asthma, lung cancer, pneumonia, influenza, tuberculosis, etc.  It is necessary to predict them before crucial stage as these diseases could lead respiratory failure. Recent recognition of machine learning techniques is enabling tools for amassing real-time data and analyzing it for precise prediction of respiratory diseases. In this paper, prediction and diagnosis of lung diseases – Asthma, lung cancer, pneumonia and tuberculosis with several machine learning algorithms and methods are discussed. Numerous ways are found in this literature for detection of diseases. The methodology on datasets from various kinds of sources like medical records, CX-Rays is analyzed in the survey.