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- W4312721330 abstract "One of the popular method for prediction of medical related data is Binary Logistic Regression. This method helps in understanding the relation between the independent variables and the dependent variable and to explore the relationship between them. The aim of this paper is to build a binary logistic model by identifying the various factors that trigger the heart disease of a person.The various factors influencing the heart disease of a person was computed and the performance of this method were evaluated based on standard statistical measures such as MAE, MAPE, RMSE, etc. The results obtained shows that BLR model can be used to monitor the heart disease conditions satisfactorily." @default.
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- W4312721330 date "2022-01-01" @default.
- W4312721330 modified "2023-10-16" @default.
- W4312721330 title "Prediction of CVD using binary logistic regression" @default.
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- W4312721330 doi "https://doi.org/10.1063/5.0108755" @default.
- W4312721330 hasPublicationYear "2022" @default.
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