Diagnosis of Pneumonia by Cough Sounds Analyzed with Statistical Features and AI.

ABSTRACT: Pneumonia is a serious disease often accompanied by complications, sometimes leading to death. Unfortunately, diagnosis of pneumonia is frequently delayed until physical and radiologic examinations are performed. Diagnosing pneumonia with cough sounds would be advantageous as a non-invasive test that could be performed outside a hospital. We aimed to develop an artificial intelligence (AI)-based pneumonia diagnostic algorithm. We collected cough sounds from thirty adult patients with pneumonia or the other causative diseases of cough. To quantify the cough sounds, loudness and energy ratio were used to represent the level and its spectral variations. These two features were used for constructing the diagnostic algorithm. To estimate the performance of developed algorithm, we assessed the d

SUBMITTER: Chung Y 

PROVIDER: S-EPMC8586978 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature