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@article{187915,
        author = {TEJASWINI R N and SPOORTHI K S and KUSHI P and BINDU H L and Prof. DIVYA C},
        title = {AI-Powered Healthcare Platform for Early Disease Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {7361-7365},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187915},
        abstract = {Machine Learning (ML) and Artificial Intelligence (AI) are transforming modern healthcare by providing faster and more accurate diagnostic support. An approach for automatic prediction of multiple diseases—specifically Diabetes, Heart Disease, and Parkinson’s Disease—using machine learning models integrated within an interactive healthcare application is proposed in this paper. The system utilizes ML algorithms such as the Random Forest Classifier and Support Vector Machine (SVM) for analyzing patient medical parameters and generating reliable prediction results. Disease-specific features are processed and classified through trained models to provide instant diagnostic insights.},
        keywords = {Machine Learning, Artificial Intelligence, Random Forest Classifier, Support Vector Machine (SVM), Streamlit, Disease Prediction, Diabetes, Heart Disease, Parkinson’s Disease.},
        month = {November},
        }