Health informatics and EHR to support clinical research in the COVID-19 pandemic: an overview
A Dagliati, A Malovini, V Tibollo… - Briefings in …, 2021 - academic.oup.com
Abstract The coronavirus disease 2019 (COVID-19) pandemic has clearly shown that major
challenges and threats for humankind need to be addressed with global answers and …
challenges and threats for humankind need to be addressed with global answers and …
[HTML][HTML] Artificial intelligence for COVID-19: battling the pandemic with computational intelligence
The new coronavirus disease 2019 (COVID-19) has become a global pandemic leading to
over 180 million confirmed cases and nearly 4 million deaths until June 2021, according to …
over 180 million confirmed cases and nearly 4 million deaths until June 2021, according to …
[HTML][HTML] The natural history of symptomatic COVID-19 during the first wave in Catalonia
The natural history of coronavirus disease 2019 (COVID-19) has yet to be fully described.
Here, we use patient-level data from the Information System for Research in Primary Care …
Here, we use patient-level data from the Information System for Research in Primary Care …
[HTML][HTML] International electronic health record-derived post-acute sequelae profiles of COVID-19 patients
HG Zhang, A Dagliati, Z Shakeri Hossein Abad… - NPJ digital …, 2022 - nature.com
The risk profiles of post-acute sequelae of COVID-19 (PASC) have not been well
characterized in multi-national settings with appropriate controls. We leveraged electronic …
characterized in multi-national settings with appropriate controls. We leveraged electronic …
[HTML][HTML] DLMM as a lossless one-shot algorithm for collaborative multi-site distributed linear mixed models
Linear mixed models are commonly used in healthcare-based association analyses for
analyzing multi-site data with heterogeneous site-specific random effects. Due to regulations …
analyzing multi-site data with heterogeneous site-specific random effects. Due to regulations …
COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries
Objective Patients with autoimmune diseases were advised to shield to avoid coronavirus
disease 2019 (COVID-19), but information on their prognosis is lacking. We characterized …
disease 2019 (COVID-19), but information on their prognosis is lacking. We characterized …
[HTML][HTML] A retrospective analysis of COVID-19 mRNA vaccine breakthrough infections–risk factors and vaccine effectiveness
A Retrospective Analysis of COVID-19 mRNA Vaccine Breakthrough Infections – Risk Factors
and Vaccine Effectiveness - PMC Back to Top Skip to main content NIH NLM Logo Access …
and Vaccine Effectiveness - PMC Back to Top Skip to main content NIH NLM Logo Access …
[HTML][HTML] Risk factors associated with SARS-CoV-2 breakthrough infections in fully mRNA-vaccinated individuals: Retrospective analysis
Background COVID-19 messenger RNA (mRNA) vaccines have demonstrated efficacy and
effectiveness in preventing symptomatic COVID-19, while being relatively safe in trial …
effectiveness in preventing symptomatic COVID-19, while being relatively safe in trial …
[HTML][HTML] Development and validation of the Radiology Common Data Model (R-CDM) for the international standardization of medical imaging data
Purpose Digital Imaging and Communications in Medicine (DICOM), a standard file format
for medical imaging data, contains metadata describing each file. However, metadata are …
for medical imaging data, contains metadata describing each file. However, metadata are …
Body mass index and risk of COVID-19 diagnosis, hospitalization, and death: a cohort study of 2 524 926 catalans
M Recalde, A Pistillo… - The Journal of …, 2021 - academic.oup.com
Context A comprehensive understanding of the association between body mass index (BMI)
and coronavirus disease 2019 (COVID-19) is still lacking. Objective To investigate …
and coronavirus disease 2019 (COVID-19) is still lacking. Objective To investigate …