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Assessment of a Comparative Bayesian-Enhanced Population-Based Decision Model for COVID-19 Critical Care Prediction in Dominican Republic Social Security Affiliates

2021-10-19

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<title>Abstract</title> <p><bold>Introduction</bold>: The novel coronavirus disease 2019 is a major health concern worldwide. The objective was to develop a Bayesian model to predict critical outcomes in patients with COVID-19. <bold>Methods</bold>: Sensitivity and specificity were obtained from previous meta-analysis. Using the IVC-COV2 index as pretest probability, likelihood ratios were integrated in a Fagan n...

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Literature Corpus work: 25036ab5-ea8e-5956-8a84-2674c53b3dd8
DOI: 10.21203/rs.3.rs-991050/v1

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Assessment of a Comparative Bayesian-Enhanced Population-Based Decision Model for COVID-19 Critical Care Prediction in Dominican Republic Social Security AffiliatesDOI 10.21203/rs.3.rs-991050/v1Read

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