Investigations

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35 Investigations visible to you, out of a total of 38

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). ...

Submitter: Frank A. Meineke

Studies: No Studies

Resources: No Resources

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. ...

Submitter: Frank A. Meineke

Studies: No Studies

Resources: No Resources

No description specified

Submitter: Frank A. Meineke

Studies: No Studies

Resources: No Resources

Test data for POLAR and other use cases

No description specified

Submitter: René Hänsel

Studies: No Studies

Resources: No Resources

The aim of this investigation is to develop a methodology to model and express phenotype classes. These models can be used to generate queries to search for individuals (patients or study participants) with specific phenotypes.

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