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- W4285201470 abstract "There is a tremendous increment of liver sickness patients as a result of exorbitant utilization of liquor, breathe in of hurtful gases, admission of polluted food, pickles and medications. Therefore lot of burden is put on the doctors to identify a patient whether he is having any liver disease are not .This paper helps to reduce the burden on the doctor by analyzing patients conditions using machine learning techniques[1]. We also make a comparison of few machine learning algorithms like random forest,logistic regression and SVM and compare their accuracy levels in predicting the liver disease." @default.
- W4285201470 created "2022-07-14" @default.
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- W4285201470 date "2022-01-01" @default.
- W4285201470 modified "2023-10-17" @default.
- W4285201470 title "Liver disease prediction using ML techniques" @default.
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- W4285201470 doi "https://doi.org/10.1063/5.0081787" @default.
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