Corpus ID: 221292986

Machine Reasoning to Assess Pandemics Risks: Case of USS Theodore Roosevelt

  title={Machine Reasoning to Assess Pandemics Risks: Case of USS Theodore Roosevelt},
  author={K. Lai and S. Yanushkevich},
  • K. Lai, S. Yanushkevich
  • Published 2020
  • Computer Science
  • ArXiv
  • Assessment of risks of pandemics to communities and workplaces requires an intelligent decision support system (DSS). The core of such DSS must be based on machine reasoning techniques such as inference and shall be capable of estimating risks and biases in decision making. In this paper, we use a causal network to make Bayesian inference on COVID-19 data, in particular, assess risks such as infection rate and other precaution indicators. Unlike other statistical models, a Bayesian causal… CONTINUE READING

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    Publications referenced by this paper.
    Probabilistic reasoning in intelligent systems - networks of plausible inference
    • J. Pearl
    • Computer Science, Philosophy
    • 1989
    • 17,400
    • PDF
    Risk Assessment and Decision Analysis with Bayesian Networks
    • 525
    • PDF
    Statistics of Extremes
    • 526
    • PDF
    Credal networks
    • 309
    • PDF
    Probability Intervals: a Tool for uncertain Reasoning
    • 262
    Causal discovery and inference: concepts and recent methodological advances
    • 113
    Novel Framework for Assessing Epidemiologic Effects of Influenza Epidemics and Pandemics
    • 80
    • PDF