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ABSTRACT
The function of liver is to filter blood that circulates through the body, converting
nutrients and drugs absorbed from the digestive tract into ready-to-use chemicals.
The liver performs many other important functions, such as removing toxins and
other chemical waste products from the blood and readying them for excretion. Liver
failure that begins in the cells of your liver. Nowadays machine learning is applied
to healthcare system where there is a chance of predicting the disease early. The
main necessity of Artificial intelligence is data. The past dataset is collected and that
dataset is used to build a machine learning model. The necessary pre-processing
techniques are applied like univariate analysis and bivariate analysis are
implemented. The data is visualized for better understanding of the features and
based on that a classification model is built by using machine learning algorithm and
comparison of algorithms are done based on their performance metrics like
accuracy, F1 score recall etc.
Keywords—
liver
disease,
demographic
variables,
prognostic/biochemical
variables, statistical learning for variable selection and classification, support vector
machine.
