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@article{176422,
        author = {DR.B.BHARATHI KANNAN.,M.TECH.,PHD and S.PUSHPARANI},
        title = {SOUND CLASSIFICATION FOR RESPIRATORY DISEASES USING MACHINE LEARNING TECHNIQUE},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7524-7529},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176422},
        abstract = {Respiratory sounds are one of the important signs of lung health and respiratory disorders. These respiratory sounds can be acquired using digital stethoscopes and other recording devices. This advanced information opens up the chance of utilizing artificial intelligence to naturally analyze respiratory scatters like asthma, pneumonia and bronchiolitis, to give some examples. A very high number of people lose their lives to different respiratory diseases every day. Respiratory Sound Analysis has been a key tool to accurately detect these types of diseases. Earlier manual detection of respiratory sounds was used but it is not feasible to detect various lung diseases due to various reasons like audio quality and perceptions of different doctors. Modern computer aided analysis helps to give much better results in identifying the diseases from the sound that includes identification of Wheezes and Crackles in the audio and thus better treatment can be given to patients. These respiratory sound diseases include Asthma, Bronchitis, Pneumonia, COPD (Chronic Obstructive Pulmonary Disease), LRTI (Lower Respiratory Tract Infection), and URTI (Upper Respiratory Tract Infection).},
        keywords = {Lung diseases, Digital stethoscopes, Sound analysis, Artificial Intelligence, Wheezes, Crackles},
        month = {April},
        }