Attribut:Beschreibung-EN
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Dies ist ein Attribut des Datentyps Text.
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Nomenclatures, vocabularies, terminologies, ontologies and taxonomies in BMHI, e.g. SNOMED CT, LOINC +
Methods of practical 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 procurement, software architectures. +
Fundamentals of technical computer science for modeling/representation of e.g. network architectures and topologies, telecommunications, wireless data transmission technologies, virtual reality, multimedia. +
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 mathematical and statistical basics +
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) +
Biomedical image and signal processing +
Basic terms and methods of biomedical imaging and signal processing +
Basic terms and methods of imaging +
Examples of medical biosignals as well as filtering methods for biosignals and basic principles of processing biosignal and image data using (deep) neural networks (Deep Learning, CNN - Convolutronal Neural Networks). +
Examples of medical images and their properties +
Basic image processing methods (e.g. edge filter, median filter, Fast Fourier Transform (FFT)) +
The registration and segmentation of medical images +
Different visualization methods, their properties and peculiarities (artifacts) +
Application fields of image and signal processing +
Biomedical Modelling and Simulation +
Fundamentals of practical computer science for image and signal processing e.g. programming languages, software engineering. +
Fundamentals of technical computer science for image and signal processing e.g. telecommunications, wireless data transmission technologies, virtual reality, multimedia. +