Liver biopsy is required when clinically important information about the diagnosis, prognosis
or management of a patient cannot be obtained by safer means, or for research purposes …

Liver fibrosis is a potentially reversible response to hepatic insults, triggered by different
chronic diseases most importantly viral hepatitis, alcoholic, and nonalcoholic fatty liver …

Liver disease has been targeted as the fifth most common cause of death worldwide and
tends to steadily rise. In the last three decades, several publications focused on the …

This paper presents and analyzes a programming tool that implements a method for
classification and function regression problems. This method builds new features from …

In the present work, an innovative two-phase method is presented for parameter tuning in
radial basis function artificial neural networks. These kinds of machine learning models find …

A genetic programming tool is proposed here for data classification. The tool is based on
Grammatical Evolution technique and it is designed to exploit multicore computing systems …

Perhaps one of the best-known machine learning models is the artificial neural network,
where a number of parameters must be adjusted to learn a wide range of practical problems …

Liver cancer has one of the highest rates of human morbidity and mortality. However, in
terms of pathology, liver cancer is traditionally clinically diagnosed based on observation of …

RBF neural networks are well established tools for classification and regression problems.
This article adapts a hybrid genetic algorithm to estimate the main parameters of the …

The Grammatical Evolution technique has been successfully applied to a wide range of
problems in various scientific fields. However, in many cases, techniques that make use of …