Health Informatics
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Machine Learning the Phenomenology of COVID-19 From Early Infection Dynamics
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Correcting under-reported COVID-19 case numbers: estimating the true scale of the pandemic
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Identifying COVID-19 phenotypes using cluster analysis and assessing their clinical outcomes
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Understanding Post-Acute Sequelae of SARS-CoV-2 Infection through Data-Driven Analysis with Longitudinal Electronic Health Records: Findings from the RECOVER Initiative
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Fear of Infection and Sufficient Vaccine Reservation Information Might Drive Rapid Coronavirus Disease 2019 Vaccination in Japan: Evidence from Twitter Analysis
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Representation of evidence-based clinical practice guideline recommendations on FHIR
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Comparison of pandemic excess mortality in 2020-2021 across different empirical calculations
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Using Primary Care Text Data and Natural Language Processing to Monitor COVID-19 in Toronto, Canada
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Understanding community level influences on the prevalence of SARS-CoV-2 infection in England
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Epidemiological topology data analysis links severe COVID-19 to RAAS and hyperlipidemia associated metabolic syndrome conditions
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