Investigations
Submitter: Matthias Löbe
Studies: Lisa's liver tumor study, MI-Lab Übung 01 Annotierung, MI-Lab Übung 02 CSV-to-FHIR, MI-Lab Übung 03 Privacy, MI-Lab Übung 04 Local Data Hub, MI-Lab Übung 05 Datenanalyse, MI-Lab Übung 06 Datenqualitätsanalysen
Resources: Lisa's liver tumor dataset, MIMIC-IV Demo (Teilmenge in FHIR)
Submitter: Silke Szymczak
Studies: SysMedPD metabolomics study
Resources: Clinical data, Data access, Metabolomics data
Submitter: Matthias Löbe
Studies: The European Health Data Space (EHDS) as 3LGM²-based enterprise architec...
Resources: model files, screenshots
One of the challenges of Phenotypingt is that too little clinical information is available as machine-readable data sets. Admission letters, findings and operating room reports in particular contain valuable information such as diagnoses, medications, side effects and laboratory data that can only be extracted using methods of natural language processing and semantic text analysis methods. Natural Language Processing (NLP) is used to process documents from the Hospital Information System (HIS). ...
PheP is a platform that enables clinical researchers to work together with statisticians and computer scientists in interdisciplinary collaboration to pursue scientific issues that previously seemed economically and technologically unthinkable. For this purpose, it is necessary to build data sets that can be used for clinical-epidemiological and health-economic issues.
From phenotypes, i.e. determinable characteristics of patients, further characteristics can be derived and provided via phenotyping. ...
