Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C
| Autor: | Jiang, Sihang, Loomba, Johanna, Sharma, Suchetha, Brown, Donald |
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| Rok vydání: | 2022 |
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| Druh dokumentu: | Working Paper |
| Popis: | 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. A number of COVID patients suffer from heterogeneous symptoms, which severely impact recovery from the pandemic. While scientists are trying to give an unambiguous definition of Long COVID, efforts in prediction of Long COVID could play an important role in understanding the characteristic of this new disease. Vital measurements (e.g. oxygen saturation, heart rate, blood pressure) could reflect body's most basic functions and are measured regularly during hospitalization, so among patients diagnosed COVID positive and hospitalized, we analyze the vital measurements of first 7 days since the hospitalization start date to study the pattern of the vital measurements and predict Long COVID with the information from vital measurements. Comment: Workshop on Machine Learning and Artificial Intelligence in Bioinformatics and Medical Informatics (MABM 2022) in International Conference on Bioinformatics and Biomedicine (BIBM 2022) |
| Databáze: | arXiv |
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