Search Results for author: Johanna Loomba

Found 2 papers, 0 papers with code

Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C

no code implementations15 Nov 2022 Sihang Jiang, Johanna Loomba, Suchetha Sharma, Donald Brown

It is shown that various symptoms could remain in the stage of post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as Long COVID.

Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid

no code implementations5 Oct 2022 Saurav Sengupta, Johanna Loomba, Suchetha Sharma, Donald E. Brown, Lorna Thorpe, Melissa A Haendel, Christopher G Chute, Stephanie Hong

Using our deep learning approach, we are able to predict if a patient is suffering from Long COVID from a temporally ordered list of diagnosis codes up to 45 days post the first COVID positive test or diagnosis for each patient, with an accuracy of 70. 48\%.

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