Suche mittels Attribut

Zur Navigation springen Zur Suche springen

Diese Seite stellt eine einfache Suchoberfläche zum Finden von Objekten bereit, die ein Attribut mit einem bestimmten Datenwert enthalten. Andere verfügbare Suchoberflächen sind die Attributsuche sowie der Abfragengenerator.

Suche mittels Attribut

Eine Liste aller Seiten, die das Attribut „Beschreibung-EN“ mit dem Wert „Competencies in computer science, mathematics and biometrics“ haben. Weil nur wenige Ergebnisse gefunden wurden, werden auch ähnliche Werte aufgelistet.

Hier sind 26 Ergebnisse, beginnend mit Nummer 1.

Zeige (vorherige 50 | nächste 50) (20 | 50 | 100 | 250 | 500)


    

Liste der Ergebnisse

  • LZ-PIN 31115  + (Characteristics, functionalities and examples of information systems to support patients and the public (e.g. patient-oriented information system architectures and applications, personal health records, sensor-enhanced information systems))
  • LZ-PIN 32157  + (Characteristics, functionalities and examples of information systems to support patients and the public (e.g. patient-oriented information system architectures and applications, personal health records, sensor-enhanced information systems))
  • LZ-PIN 35035  + (Characteristics, functionalities and examples of information systems to support patients and the public (e.g. patient-centred information system architectures and applications, personal health records, sensor-based information systems, telemedicine/care).)
  • LZ-PIN 30069  + (Characteristics, functionalities and examples of information systems for the support of patients and the public (e.g. patient-oriented information system architectures and applications, personal health records, sensor-enhanced information systems))
  • LZ-PIN 31057  + (Characteristics, functionalities and examples of information systems for the support of patients and the public (e.g. patient-oriented information system architectures and applications, personal health records, sensor-enhanced information systems))
  • LZ-PIN 32089  + (Characteristics, functionalities and examples of information systems for the support of patients and the public (e.g. patient-oriented information system architectures and applications, personal health records, sensor-enhanced information systems))
  • LZ-PIN 32111  + (Characteristics, functionalities and examples of information systems to support patients and the public (e.g. patientoriented information system architectures and applications, personal health records, sensor-enhanced information systems))
  • LZ-PIN 31075  + (Characteristics, functionalities and examples of information systems to support patients and the public (e.g. patientoriented information system architectures and applications, personal health records, sensor-enhanced information systems))
  • LZ-PIN 30087  + (Characteristics, functionalities and examples of information systems to support patients and the public (e.g. patientoriented information system architectures and applications, personal health records, sensor-enhanced information systems))
  • LZ-PIN 33096  + (Characteristics, functionalities and examples of information systems to support patients and the public (e.g. patientoriented information system architectures and applications, personal health records, sensor-enhanced information systems))
  • LZ-PIN 34069  + (Characteristics, functionalities and examples of information systems in health care (e.g. clinical information systems, primary care information systems, etc.))
  • LZ-PIN 30057  + (Characteristics, functionalities and examples of information systems in health care (e.g. clinical information systems, primary care information systems, etc.))
  • LZ-PIN 31047  + (Characteristics, functionalities and examples of information systems in health care (e.g. clinical information systems, primary care information systems, etc.))
  • LZ-PIN 32076  + (Characteristics, functionalities and examples of information systems in health care (e.g. clinical information systems, primary care information systems, etc.))
  • LZ-PIN 33069  + (Characteristics, functionalities and examples of information systems in health care (e.g. clinical information systems, primary care information systems, etc.))
  • LZ-PIN 34100  + (Characteristics, functionalities and examples of information systems to support patients and the public (e.g. patient-oriented information system architectures and applications, personal health records, sensor-based information systems).)
  • LZ-PIN 32059  + (Characteristics, functionalities, and examples of information systems to support patients and the public (e.g., patient-centered information system architectures and applications, personal health records, sensor-based information systems).)
  • LZ-PIN 34063  + (Classification of guideline development process and levels of evidence)
  • LZ-PIN 34034  + (Classifications, terminologies and ontologies in the context of healthcare)
  • LZ-PIN 32035  + (Classifications, terminologies and ontologies in the context of healthcare)
  • LZ-PIN 33034  + (Classifications, terminologies and ontologies in the context of healthcare)
  • LZ-PIN 35038  + (Classifications, terminologies and ontologies in the context of healthcare)
  • LZ-PIN 34032  + (Coding of steps, interventions and procedures using OPS)
  • LZ-PIN 35043  + (Coding of steps, interventions and procedures using OPS)
  • D-PIN 2  + (Competences in the field of medicine, health and life sciences, health care organization)
  • D-PIN 3  + (Competencies in computer science, mathematics and biometrics)
  • LZ-PIN 33085  + (Concept of interoperability and justifications for its necessity, levels and requirements)
  • LZ-PIN 35210  + (Concepts and methods of biomedical image and signal processing)
  • D-PIN  + (Core competencies and core skills in medical informatics, medical information management, and biomedical informatics)
  • LZ-PIN 50179  + (Cox regression)
  • LZ-PIN 50178  + (Cox regression)
  • D0  + (Cross-domain competencies and softskills)
  • D-PIN 15  + (Cross-domain competencies and softskills)
  • D-PIN 50  + (Cross-domain competencies and softskills)
  • D-PIN 59  + (Cross-domain competencies and softskills)
  • D-PIN 68  + (Cross-domain competencies and softskills)
  • LZ-PIN 32034  + (DRG system, the information and tools required to assign a DRG (Diagnosis Related Groups), as well as the key figures relevant for the DRG system, including the remuneration system and additional revenues.)
  • LZ-PIN 33033  + (DRG system, the information and tools required to assign a DRG (Diagnosis Related Groups), as well as the key figures relevant for the DRG system, including the remuneration system and additional revenues.)
  • D-PIN 35  + (Data Protection and Data Security)
  • LZ-PIN 35053  + (Data analyses of gene and protein data with the appropriate statistical measures)
  • LZ-PIN 33153  + (Data collection from telemedical and other applications)
  • LZ-PIN 34157  + (Data extraction from telemedicine and other applications)
  • LZ-PIN 35227  + (Data extraction from telemedicine and other applications)
  • LZ-PIN 34024  + (Data items for a medical documentation procedure)
  • LZ-PIN 35031  + (Data items for a medical documentation procedure (items catalogue))
  • DDM (Aachen)  + (Data play an important role in medicine: IData play an important role in medicine: Intensive care relies on monitors presenting and analysing real-time patient data, medical imaging has become a domain of massive data processing, diagnostics rely on laboratory data, and the importance of data is ever increasing: Wearable sensors, mobile communication devices and respective apps will produce data streams, which support preventive measures in healthy individuals or allow screening as a basis for data-based prevention of diseases. Last but not least: molecular biology (e.g. by gene sequencing and gene expression analysis) introduces new biomarkers, which enable new minimally-invasive diagnostics and approaches to tailoring treatments based on individual characteristics of patients (precision medicine) - which would never be possible without sophisticated processing of huge amounts of data. Medical decision making in general will be markedly influenced by data processing and data analytics. Thus, we can expect data driven medicine to gain momentum in the nearer future. This course offers a project-oriented, multidisciplinary introduction to the basics of data driven medicine. Orientation, fundamental concepts, and methodological approaches are provided by lectures. In addition, the participants will also form small interdisciplinary teams including students of computer science as well as medical students in order to plan and implement an own project, which targets prediction or decision support generated from medical data.ision support generated from medical data.)
  • K5  + (Data protection and data security)
  • Kapitel 6  + (Data protection and regulatory requirements)
  • LZ-PIN 30156  + (Database queries)
  • LZ-PIN 30151  + (Database queries)
  • LZ-PIN 31131  + (Database queries)