Detalhe da pesquisa
1.
Understanding Post-Acute Sequelae of SARS-CoV-2 Infection through Data-Driven Analysis with the Longitudinal Electronic Health Records: Findings from the RECOVER Initiative
Preprint
em Inglês
| PREPRINT-MEDRXIV | ID: ppmedrxiv-22275420
2.
Identifying Contextual and Spatial Risk Factors for Post-Acute Sequelae of SARS-CoV-2 Infection: An EHR-based Cohort Study from the RECOVER Program
Preprint
em Inglês
| PREPRINT-MEDRXIV | ID: ppmedrxiv-22281010
3.
Factors Associated with Long Covid Symptoms in an Online Cohort Study
Preprint
em Inglês
| PREPRINT-MEDRXIV | ID: ppmedrxiv-22282987
4.
Characteristics of 24,516 Patients Diagnosed with COVID-19 Illness in a National Clinical Research Network: Results from PCORnet
Preprint
em Inglês
| PREPRINT-MEDRXIV | ID: ppmedrxiv-20163733
5.
Machine Learning for Identifying Data-Driven Subphenotypes of Incident Post-Acute SARS-CoV-2 Infection Conditions with Large Scale Electronic Health Records: Findings from the RECOVER Initiative
Preprint
em Inglês
| PREPRINT-MEDRXIV | ID: ppmedrxiv-22275412