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Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C.

, , , , and . ICMLA, page 430-436. IEEE, (2023)

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Determining Risk Factors for Long COVID Using Positive Unlabeled Learning on Electronic Health Records Data from NIH N3C., , , , and . ICMLA, page 430-436. IEEE, (2023)Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C., , , and . BIBM, page 3023-3030. IEEE, (2022)A Bayesian Hierarchical Analysis on the Disparity of Emergency Department Visits for COVID-19: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data., , , , , and . ICMLA, page 144-151. IEEE, (2023)The iTHRIV Commons: a cross-institution information and health research data sharing architecture and web application., , , , , , , , , and . J. Am. Medical Informatics Assoc., 29 (4): 631-642 (2022)Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative., , , , , , , , , and 76 other author(s). J. Am. Medical Informatics Assoc., 29 (4): 609-618 (2022)Analyzing historical diagnosis code data from NIH N3C and RECOVER Programs using deep learning to determine risk factors for Long Covid., , , , , , , and . BIBM, page 2797-2802. IEEE, (2022)