Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid. (arXiv:2210.02490v1 [cs.LG])

Post-acute sequelae of SARS-CoV-2 infection (PASC) or Long COVID is an
emerging medical condition that has been observed in several patients with a
positive diagnosis for COVID-19. Historical Electronic Health Records (EHR)
like diagnosis codes, lab results and clinical notes have been analyzed using
deep learning and have been used to predict future clinical events. In this
paper, we propose an interpretable deep learning approach to analyze historical
diagnosis code data from the National COVID Cohort Collective (N3C) to find …

arxiv code covid data deep learning diagnosis nih risk