L3CatTXST: NIH Long COVID Computational Challenge (L3C) Results

Simple item page
dc.contributor.authorTesic, Jelena
dc.contributor.authorMusal, Rasim
dc.date.accessioned2023-05-10T20:57:39Z
dc.date.available2023-05-10T20:57:39Z
dc.date.issued2023-04
dc.description.abstractNational COVID Cohort Collaborative L3C challenge: Determine if the patient who has tested positive for SARS-CoV-2 in an outpatient hospital setting (ICU or non-ICU) developing PASC/Long COVID. The N3C's data consists of existing patient records at 94 participating institutions. The data itself can only be accessed through a secure cloud portal hosted by NCATS known as the Enclave With collaborative efforts it consists of: 20 billion rows, 1,757.1 million clinical observations, 16.4 million patients, and 6,438,192 SARS-CoV cases. Under the university's DUR we have access to Level 2 data.
dc.description.departmentComputer Science
dc.description.departmentInformation Systems and Analytics
dc.formatImage
dc.format.extent1 page
dc.format.medium1 file (.pdf)
dc.identifier.citationTešić, J., & Musal, R. (2023). L3CatTXST: NIH long COVID computational challenge (L3C) results. Poster presented at the Health Scholar Showcase, Translational Health Research Center, San Marcos, Texas.
dc.identifier.urihttps://hdl.handle.net/10877/16771
dc.language.isoen
dc.sourceHealth Scholar Showcase, 2023, Texas State University Translational Health Science Center, San Marcos, Texas, United States.
dc.subjectlong COVID
dc.subjectCOVID Cohort Collaborative L3C Challenge
dc.titleL3CatTXST: NIH Long COVID Computational Challenge (L3C) Results
dc.typePoster

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Tesic-THRC-Health Scholar Showcase.pdf
Size:
1.27 MB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.54 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Health Scholar Showcase