https://www.selleckchem.com/pr....oducts/Roscovitine.h
Introduction Contemporary stethoscope has limitations in diagnosis of chest conditions, necessitating further imaging modalities. Methods We created 2 diagnostic computer aided non-invasive machine-learning models to recognize chest sounds. Model A was interpreter independent based on hidden markov model and mel frequency cepstral coefficient (MFCC). Model B was based on MFCC, hidden markov model, and chest sound wave image interpreter dependent analysis (phonopulmonography (PPG)). Results We studied 464 records of actual chest soun