Medical data frequently represent multidimensional datasets as investigated factors and clinical and laboratory parameters coverage is huge. This research area is very important in terms of practical applications. We were given monthly lipid metabolism and hormonal status data of children (including children suffering from obesity) of Siberian region during a year. In this article some research results appear
Statistical analysis of biomedical data Today, the recording of the patient's status in multivariat...
Background: Metabolic syndrome (MS) is closely linked to obesity; however, not all individuals with ...
The healthcare computerization creates opportunities to the clinical decision support system develop...
The main purpose of this study was to research basic clinical and hormonal, metabolic and psychologi...
Factor analysis is a multivariate statistical approach commonly used in psychology, education, and m...
International audienceBackground: In high-dimensional data (HDD) settings, the number of variables a...
This article is the seventh in a series reviewing the importance of research design, analyses, and e...
Nowadays almost all the principles of diagnosis and treatment are determined by the statistical anal...
Medical datasets have reached enormous capacities. This data may contain valuable information that a...
The article explores data mining algorithms, which based on rules and calculations, that allow us to...
Clinical tests and epidemiological studies often produce large amounts of data, being multivariate i...
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in ...
Advanced multivariate analysis methods became widely used after rapid development of computer techno...
<p>P = Statistical test of significance of association.</p><p>CI = Confidence Interval.</p><p>R ...
This is the ninth in a series of monographs on research design and analysis, and the third in a set ...
Statistical analysis of biomedical data Today, the recording of the patient's status in multivariat...
Background: Metabolic syndrome (MS) is closely linked to obesity; however, not all individuals with ...
The healthcare computerization creates opportunities to the clinical decision support system develop...
The main purpose of this study was to research basic clinical and hormonal, metabolic and psychologi...
Factor analysis is a multivariate statistical approach commonly used in psychology, education, and m...
International audienceBackground: In high-dimensional data (HDD) settings, the number of variables a...
This article is the seventh in a series reviewing the importance of research design, analyses, and e...
Nowadays almost all the principles of diagnosis and treatment are determined by the statistical anal...
Medical datasets have reached enormous capacities. This data may contain valuable information that a...
The article explores data mining algorithms, which based on rules and calculations, that allow us to...
Clinical tests and epidemiological studies often produce large amounts of data, being multivariate i...
Focusing on high-dimensional applications, this 4th edition presents the tools and concepts used in ...
Advanced multivariate analysis methods became widely used after rapid development of computer techno...
<p>P = Statistical test of significance of association.</p><p>CI = Confidence Interval.</p><p>R ...
This is the ninth in a series of monographs on research design and analysis, and the third in a set ...
Statistical analysis of biomedical data Today, the recording of the patient's status in multivariat...
Background: Metabolic syndrome (MS) is closely linked to obesity; however, not all individuals with ...
The healthcare computerization creates opportunities to the clinical decision support system develop...