Attribut:Beschreibung-EN
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Dies ist ein Attribut des Datentyps Text.
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Methods of theoretical informatics/computer science, e.g. complexity theory, encryption/security +
Methods of technical informatics/computer science, e.g. network architectures and topologies, telecommunications, wireless technology, virtual reality, multimedia +
Basic concepts and applications of ubiquitous computing (e.g. pervasive, sensor-based and ambient technologies in health care, health enabling technologies, ubiquitous health systems and ambient assisted-living) +
Essential approaches of usability engineering, human-computer interaction, usability evaluation, cognitive aspects of information processing for BMHI (Biomedical and Health Informatics) +
The representation and modelling of medical information and knowledge bases +
Principles of data representation and data analysis using primary and secondary data sources, principles of data mining, data warehouses, knowledge management, FAIR Principles +
(Bio-)medical modelling and simulation +
Nomenclatures, vocabularies, terminologies, ontologies and taxonomies in BMHI (Biomedical and Health Informatics), e.g. SNOMED CT (Systematized Nomenclature of Human and Veterinary Medicine Clinical Terms), LOINC (Logical Observation Identifiers Names and Codes) +
Fundamentals of practical informatics/computer science for modelling/representation e.g. software engineering, data structures, information (annotation) and system modelling tools, information systems theory and practice, knowledge engineering, (concept) representation and acquisition, software architectures. +
Basics of technical computer science for the modelling/representation of e.g. network architectures and topologies, telecommunications, wireless data transmission technologies, virtual reality, multimedia. +
Presentation of decision support and its influence 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 optimise patient care. +
The mathematical and statistical basics +
Methods of theoretical informatics/computer science, e.g. complexity theory, encryption/security +
Theorems and methods based on fundamental knowledge (e.g. analysis, logic, numerical mathematics, probability theory and statistics, cryptography) essential for for BMHI (Biomedical and Health Informatics) +
Biomedical image and signal processing +
Basic concepts and methods of biomedical image 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 +