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@article{184868,
        author = {SHAIK SADIQ and D.MURALI},
        title = {CHRONICNET: AI-ENABLED APPROACH FOR CHRONIC HEART FAILURE DETECTION FROM HEART SOUNDS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {3198-3203},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184868},
        abstract = {The prevalence of chronic heart failure (CHF) underscores the urgent need for effective detection methods to mitigate its impact on public health. This project introduces an innovative AI-enabled approach leveraging heart sound analysis for CHF detection, aiming to address the limitations of existing diagnostic techniques and enhance patient care in the healthcare industry. Traditional diagnostic procedures for CHF often involve time consuming and error- prone manual assessments, leading to delays in diagnosis and suboptimal patient outcomes. Moreover, the lack of automation in current systems results in increased healthcare costs and resource utilization. Motivated by these challenges, this project seeks to develop a novel solution that harnesses the power of artificial intelligence to streamline CHF detection processes. By analyzing phonocardiography data, the proposed model aims to accurately identify characteristic patterns associated with CHF. The proposed model represents a paradigm shift in CHF detection, offering a scalable and cost-effective solution that can be integrated into existing healthcare infrastructure. By automating the diagnostic process and minimizing human error, this AI-enabled approach has the potential to revolutionize patient care, enabling timely interventions and improving long- term outcomes for individuals with CHF. Through collaborative efforts between clinicians, engineers, and data scientists, this project seeks to translate cutting-edge research into tangible benefits for both healthcare providers and patients, paving the way for a more efficient and equitable healthcare system.},
        keywords = {Artificial Intelligence, Phonocardiography, Chronic Heart Failure, Heart Sounds, Diagnostic.},
        month = {September},
        }