Constructing Bayesian Networks for Medical Diagnosis from Incomplete and Partially Correct Statistics

@article{Nikovski2000ConstructingBN,
  title={Constructing Bayesian Networks for Medical Diagnosis from Incomplete and Partially Correct Statistics},
  author={Daniel Nikovski},
  journal={IEEE Trans. Knowl. Data Eng.},
  year={2000},
  volume={12},
  pages={509-516}
}
The paper discusses several knowledge engineering techniques for the construction of Bayesian networks for medical diagnostics when the available numerical probabilistic information is incomplete or partially correct. This situation occurs often when epidemiological studies publish only indirect statistics and when signi cant unmodeled conditional dependence exists in the problem domain. While nothing can replace precise and complete probabilistic information, still a useful diagnostic system… CONTINUE READING
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