… In this paper, the main focus is to predict the liver disease based on a software engineering
approach using classification and feature selection technique. The implementation of …

… reduce the high cost of chronic liver disease diagnosis by prediction. In this work, we … use
of clinical data for liver disease prediction and explore different ways of representing such data …

… prognostic factors for predicting fatty liver disease using classification machine learning …
approach into four steps: 1. Data preprocessing: it includes data cleaning, resolves missing …

… disease early on. This research proposed intelligent model to predict liver disease using …
machine learning (ANN) approach. The proposed model shows better performance in terms …

… Prediction of Liver Malady Using Advanced Classification … In this paper, the author used
SVM to predict liver disease using … of data science, such as scientific computing, computational …

… are using liver patient dataset to predict whether the patient is having liver disease or not. …
we can use the bootstrap sampling approach to select random samples of the same size from …

… is to develop prediction models for Chronic Hepatitis C (CHC)-related HCC using machine
… -consuming but still accurate and effective early prediction of fibrosis and liver cancer [13,14]. …

… AI refers to computational approaches to data analysis in which computer programmes
are … Throughout this article, we will use AI as a broad term that includes classical machine …

… Smart ways to detect liver disease classification used in this … Materials and Methods: Our
database was 583 patient records … and predict the diagnosis of liver disease is recommended …

… of liver cancer. Machine learning methods were utilised in the prediction of liver cancer, …
The BUPA liver disorder training set (70 percent) and testing set (30 percent) were chosen, …