loading page

Review on Chronic Obstructive Pulmonary Disease Prediction System using Wheeze and Crackle
  • Niwarthana De Alwis
Niwarthana De Alwis
Informatics Institute of Technology

Corresponding Author:[email protected]

Author Profile

Abstract

As of today, Chronic Obstructive Pulmonary Disease (COPD) is a common lung disease in the community. Getting an accurate diagnosis is the most important step in treating a patient, allowing doctors to find the best treatment for their condition. Luckily, in today’s World, Machine learning is making healthcare smarter. It’s a complex process that requires human effort and time. The paper presents a better application design to identify this disease easily. The main aim is to predict that COPD patients can be performed with high accuracy according to respiratory sound reports. The latest technology will be used to achieve this goal through deep learning and Audio/speech processing. With this implementation of this research, it is hoped to make an accurate prediction of COPD and make it readily available to the patient.