Attribut:Beschreibung-EN

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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  +
Socio-organizational and socio-technical issues (including workflow/process modelling and reorganization)  +
Principles of data representation and data analysis using primary and secondary data sources, principles of data mining, data warehouses, knowledge management  +
Biomedical 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)  +
Informatics methods and tools to support study and training (incl. flexible and distance learning) and e-learning technologies (incl. Internet and World Wide Web).  +
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  +
Methods of technical informatics/computer science, e.g. network architectures and topologies, telecommunications, wireless data transmission technologies, virtual reality, multimedia  +
Important standards of medical informatics  +
Decision support methods and their application to patient management, acquisition, presentation 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 of algebra, analysis, logic, numerical mathematics, probability theory and statistics, cryptography that are essential for BMHI (Biomedical and Health Informatics)  +
Biomedical image and signal processing  +
Basic concepts and methods of biomedical image and signal processing  +
Examples of medical biosignals and filtering methods for biosignals  +
Examples of medical images and their properties  +