System for Support of Biomedical Data Analysis

Abstract

The analysis of biomedical data is a current task, mainly thanks to the ever-evolving technologies for obtaining and preprocessing biological samples. This diploma thesis presents a software environment supporting experiments with real-world data using machine learning methods based on neural networks. The first part of the work discusses core concepts of machine learning and neural networks. The second part describes requirements, architecture, used technologies and all the capabilities of the application.