Alliance for Pandemic Preparedness

April 30, 2020

Informative Ranking of Stand Out Collections of Symptoms: A New Data-Driven Approach to Identify the Strong Warning Signs of COVID 19

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  • This paper introduces a Conditionally Predictively Informative Ranking (CPIR) approach to analyze COVID-19 symptoms. This approach provides a ranking of informative symptoms that may help in clinical settings and potentially be used for broader public policy discussions. 
  • The authors provide multiple combinations of symptoms associated with typical patients, as well as critical and risky symptoms associated with atypical patients, by demographic characteristics. 

Al Rahman et al. (Apr 30, 2020). Informative Ranking of Stand Out Collections of Symptoms: A New Data-Driven Approach to Identify the Strong Warning Signs of COVID 19. Pre-print downloaded Apr 30 from https://doi.org/10.1101/2020.04.25.20079905