Performance Evaluation of an Intelligent Lung Sound Classifier Based on an Enhanced MFCC Model

• Main Authors: Ingco, Wally Enrico M, Abu, Patricia Angela R, Reyes, Rosula SJ
• Format: text
• Published: Archīum Ateneo 2021
• Subjects: support vector machines; COVID-19; performance evaluation; sensitivity; machine learning algorithms; pulmonary diseases; human intelligence; enhanced MFCC; lung sounds; machine learning; KNN; SVM; Computer Sciences; Diagnosis; Diseases; Pulmonology
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/238; https://ieeexplore.ieee.org/abstract/document/9616750
• Institution: Ateneo De Manila University

The rate at which technology grew in the past years is unbelievably fast and astounding. However, chronic illnesses like respiratory diseases remains a common and widely experienced problem globally. The emergence of infectious respiratory health issues such as the coronavirus (COVID-19) had only ma...