L3CatTXST: NIH Long COVID Computational Challenge (L3C) Results
Date
2023-04
Authors
Tesic, Jelena
Musal, Rasim
Journal Title
Journal ISSN
Volume Title
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Abstract
National 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.
Description
Keywords
long COVID, COVID Cohort Collaborative L3C Challenge
Citation
Tešić, 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.