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- W4386328848 abstract "The techniques of artificial intelligence can be applied to predict the disease at an initial stage. In this research paper, we will demonstrate the machine learning classification models, and how these models can be applied on the dataset related to heart disease for prediction of heart failure. The performance of models will be based on their accuracy in making the predictions on test data. Further we will compare the accuracy rate of different models. Also, at the end of the paper, we will show the time taken by the model to train itself from the training dataset." @default.
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- W4386328848 date "2023-01-01" @default.
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- W4386328848 title "Machine Learning Techniques to Detect Heart Disease in Early Stage Using Feature-Based Classification" @default.
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- W4386328848 doi "https://doi.org/10.1007/978-981-99-3485-0_55" @default.
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