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@article{174334,
        author = {Harish Ragavendra and Peer Mohammed and Cibi Ashwin},
        title = {Kidney Disease Detection Using CNN},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {4137-4142},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174334},
        abstract = {Digital Health (dHealth) solutions, powered by advanced machine learning (ML) algorithms, have emerged as a promising approach to improving health outcomes and increasing accessibility to healthcare services. This research explores the integration of Convolutional Neural Networks (CNN), a powerful deep learning technique, to address two critical healthcare challenges: medication adherence and early kidney disease detection. The proposed system aims to assist patients in monitoring their adherence to prescribed medications while also enabling the early identification of kidney disease through medical data analysis and predictive modeling.},
        keywords = {Kidney diseases, Convolutional neural networks (CNNs), machine learning (ML)},
        month = {March},
        }