Detalhe da pesquisa
1.
Distinguishing Admissions Specifically for COVID-19 From Incidental SARS-CoV-2 Admissions: National Retrospective Electronic Health Record Study.
J Med Internet Res
; 24(5): e37931, 2022 05 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-35476727
2.
Characterization of Post-COVID-19 Definitions and Clinical Coding Practices: Longitudinal Study.
Online J Public Health Inform
; 16: e53445, 2024 May 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-38700929
3.
Neurological diagnoses in hospitalized COVID-19 patients associated with adverse outcomes: A multinational cohort study.
PLOS Digit Health
; 3(4): e0000484, 2024 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-38620037
4.
A retrospective cohort analysis leveraging augmented intelligence to characterize long COVID in the electronic health record: A precision medicine framework.
PLOS Digit Health
; 2(7): e0000301, 2023 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-37490472
5.
Characterization of long COVID temporal sub-phenotypes by distributed representation learning from electronic health record data: a cohort study.
EClinicalMedicine
; 64: 102210, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37745021
6.
Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: An international multi-centre observational cohort study.
EClinicalMedicine
; 55: 101724, 2023 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-36381999
7.
Distinguishing Admissions Specifically for COVID-19 from Incidental SARS-CoV-2 Admissions: A National EHR Research Consortium Study.
medRxiv
; 2022 Feb 18.
Artigo
em Inglês
| MEDLINE | ID: mdl-35350202
8.
International electronic health record-derived post-acute sequelae profiles of COVID-19 patients.
NPJ Digit Med
; 5(1): 81, 2022 Jun 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-35768548
9.
Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2.
BMJ Open
; 12(6): e057725, 2022 06 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-35738646
10.
Potential pitfalls in the use of real-world data for studying long COVID.
Nat Med
; 29(5): 1040-1043, 2023 05.
Artigo
em Inglês
| MEDLINE | ID: mdl-37055567