Standard methods of multivariate statistics fail in the analysis of high-dimensional data. This
paper gives an overview of recent classification methods proposed for the analysis of high …

This paper is focused on regularized versions of classification analysis and their
computation for high-dimensional data. A variety of regularized classification methods has …

The chapter presents decision support systems in medicine, their basic principles, and
structure. From the point of view of patient safety, the decision support systems can bring …

The ideals of an inclusive society with equal opportunities for all individuals without respect,
for example, to race, gender, age, or social class have been promoted by the United Nations …

The aim of this work is to search for intuitive interpretations of regularized regression
procedures within the framework of Bayesian inference. First, the paper considers Bayesian …

Microcalcification clusters appear as groups of small, bright particles with arbitrary shapes
on mammographic images. They are the earliest sign of breast carcinomas and their …

Modern advanced tools of artificial intelligence assist healthcare professionals in a variety of
complex tasks related to medical care. Digitalization and automation accelerate the …

Standard classification procedures of both data mining and multivariate statistics are
sensitive to the presence of outlying values. In this paper, we propose new algorithms for …

The paper is devoted to the least weighted squares estimator, which is one of highly robust
estimators for the linear regression model. Novel tests of heteroscedasticity are proposed …

The aim of this paper is to overview challenges and principles of Big Data analysis in
biomedicine. Recent multivariate statistical approaches to complexity reduction represent a …