TechRxiv
Review on Chronic Obstructive Pulmonary Disease Prediction System using Wheeze and Crackle.pdf (289.74 kB)

Review on Chronic Obstructive Pulmonary Disease Prediction System using Wheeze and Crackle.

Download (289.74 kB)
preprint
posted on 22.06.2021, 15:08 by Niwarthana De Alwis

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.

History

Email Address of Submitting Author

nihathamanidealwis96@gmail.com

Submitting Author's Institution

Informatics Institute of Technology

Submitting Author's Country

Sri Lanka