LIVER FAILURE PREDICTION USING MACHINE LEARNING APPROACH

نویسندگان

چکیده

The occupation of liver is to channel blood that goes through the body, changing over prescriptions and enhancements held gastrointestinal framework into arranged to-use manufactured substances. huge abilities like wiping out harms other substance aftereffects from performed by setting them up for release. Liver dissatisfaction beginnings in cells liver. Nowadays AI applied clinical consideration system where there a chance early assumption diseases. essential conviction Artificial understanding data. To build Machine Learning model dataset accumulated. Pre- dealing with techniques are completed. data imagined better features considering gathering worked using computation assessment estimations finished taking account their show estimations, instance, precision, F1 score survey, etc. proposed create an previous frustration target section recognized first our space associated benefits. Then, seen perception features. on pre-arranged get request created learning execution assessed display estimations. Finally gives outcome as what period live disillusionment kind ailment. Keywords – Disease prediction, learning, SVM, Naïve Bayes.

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ژورنال

عنوان ژورنال: Indian Scientific Journal Of Research In Engineering And Management

سال: 2022

ISSN: ['2582-3930']

DOI: https://doi.org/10.55041/ijsrem16026