Attribut:Beschreibung-EN
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Dies ist ein Attribut des Datentyps Text.
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Methods of practical informatics/computer science, especially on programming languages, software engineering, data structures, database management systems, information and system modelling tools, information systems theory and practice, knowledge engineering, (concept) representation and acquisition, software architectures +
Representation of decision support and its impact on patient management, acquisition, representation, and engineering of medical knowledge; construction and use of clinical pathways and guidelines. +
Different types of knowledge-based systems and medical applications of CDSS (clinical decision support system) to optimize patient care. +
The theoretical basis for representing and modelling medical knowledge +
Methods of theoretical informatics/computer science, e.g. complexity theory, encryption/security. +
Theorems and approaches based on fundamental knowledge (e.g., analysis, logic, numerical mathematics, probability theory and statistics, cryptography) essential for BMHI (Biomedical and Health Informatics) +
Concepts and methods of biomedical image and signal processing +
Basic terms and methods of biomedical imaging +
Examples of medical images and their properties +
Terms and methods for registration and segmentation of medical images +
Basic image processing methods (e.g. smoothing fillers, edge filters, Fast Fourier Transform (FFT)) +
Different visualisation methods of biosignals and image data and their characteristics and peculiarities (e.g. typical artefacts) +
Examples of medical biosignals and filtering methods for biosignals +
Basic principles of processing biosignal and image data by means of machine learning methods using the example of artificial neural networks (e.g. Deep Learning, Convolutional Neural Networks (CNNs), Generative Adversarial Network (GAN)) +
Application fields of image and signal processing +
Biomedical Modelling and Simulation +
Management of biomedical signal and image data +
Important standards of medical informatics e.g. DICOM +
Application scenarios for telemedical applications and their framework conditions +
Fundamentals of data mining and data analysis of primary and secondary data sources, principles of data mining, data warehouses (data sharing), knowledge management - ideally on real conditions +