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- W4308750791 abstract "Heart disease has been a major threat that costs human lives. There are many reasons behind heart disease including smoking, heredity, and diabetes. Day to day, people face various common symptoms of heart disease which are unconsidered in a lethargic manner. This leads to serious and life-threatening complications. To predict these diseases in prior, several methods are existing which take in a certain number of parameters for prognosis. The system proposed here is an ensemble approach that combines the idea of the MT-MrSBC algorithm along with bagging and boosting. The algorithm mentioned here overcomes the issues faced by other algorithms in handling the multi-variant environment. The algorithm deploys iterative techniques indulging bagging and boosting concepts that enhance the system. The system trained is thus capable of predicting the disease of the patient. This helps in taking precautionary measures by the patient which are life saving." @default.
- W4308750791 created "2022-11-15" @default.
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- W4308750791 date "2022-11-10" @default.
- W4308750791 modified "2023-09-27" @default.
- W4308750791 title "Cardial Disease Prediction in Multi-variant Systems Using MT-MrSBC Model" @default.
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- W4308750791 doi "https://doi.org/10.1007/978-981-19-5090-2_2" @default.
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