Respiratory noise analysis
Data Science & AI|Dr. med. Rafael J. A. Cámara|November 24, 2024
What is the final project useful for?
A test based on deep learning auscultates the lung telemedically and returns the percentages of healthy and diminished noise, wheezing, stridor, crackles, rhonchi, and pleural friction. Traffic light-like, the amount of healthy noise tells if the respiration sounds healthy, dubious, or suspicious. The thresholds depend on the smoking status.
What does the final project look like?
Here is the link to the final project.
