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@article{201006,
        author = {Bhukya Naga Srinivas and Ch. Venkateswarlu and Ch.LeelaKrishnamahesh and B.Saitharun and Ms.V.MathuMitha},
        title = {A Hybrid Machine Learning Framework for Heart Disease Prediction And Intelligent Healthcare Assistance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {3367-3372},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201006},
        abstract = {heart disease is an issue which kills many people in the world. That way, it is very essential to know whether one has heart disease so that he/she can be provided with the appropriate treatment. This essay is on one application of machine learning to predict heart disease. Our predictions are made using a combination of machine learning techniques such as Naive Bayes and Decision Tree and Gradient Boosting. The first data that the system we created examines is that of the patients. Selects the significant data. Then it applies this information to train each of the machine learning methods. It then takes the output of each of the methods and combines it to provide a prediction. Naive Bayes performs well in making predictions Decision Tree makes us know how it makes the decisions and Gradient Boosting makes predictions more accurate. We also created a chatbot that is able to speak to users, and inquire about their symptoms. Then it advises them a few things regarding their health. In case they have to visit the hospital, the system can propose some of the close by hospitals they would be happy to visit. When we tested the system, we found out that it works better than using one of the machine learning methods. Another reason why the system is good is that it can process a significant amount of data and make predictions in seconds that is crucial to healthcare. This implies that physicians can make choices and assist individuals, and heart disease will receive appropriate treatment at an early stage. One condition is heart disease and we can assist with it.},
        keywords = {Disease Prediction, Machine Learning, Naive Bayes, Decision Tree, Gradient Boosting, Healthcare System},
        month = {May},
        }