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@article{174981,
        author = {WASIM RAJA A and YOGESHKUMAR M and SANJAY B and NATARAJAN K and HARISH S},
        title = {HEART DISEASE PREDICTION USING WARM AND NB ALGORITHM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {2069-2074},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174981},
        abstract = {This study offers a thorough method of predicting cardiac illness using the Warm and Naive Bayes (NB) machine learning algorithms. The work tackles data preprocessing issues like missing values and outliers by utilizing a broad dataset that includes vital health characteristics including age, gender, blood pressure, and cholesterol levels. This revised dataset is used to train the models, and standard metrics are used to thoroughly assess the models' predicted performance. A thorough analysis of the Warm and Naive Bayes (NB) models is included in the research to highlight their advantages and disadvantages in the context of heart disease prediction.},
        keywords = {Heart Disease, Machine Learning, Predictive Modeling, Medical History},
        month = {April},
        }