Investigations

Created At
Go
37 Investigations visible to you, out of a total of 43
No description specified

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

Powered by
(v.1.13.0-master)
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies