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This document presents a study on the use of artificial intelligence for analyzing respiratory sounds to aid in the diagnosis of bronchial asthma. A machine learning-based method was developed using a database of respiratory sound recordings from both asthmatic patients and healthy individuals, achieving high diagnostic reliability with sensitivity of 89.3% and specificity of 86%. The method can facilitate remote monitoring and evaluation of asthma patients, enhancing early diagnosis and treatment effective

Author

X IPA3ALYA FAHIRA RAHMAHANI

Language

EN