ODDIN: Ontology-driven differential diagnosis based on logical inference and probabilistic refinements

@article{GarcaCrespo2010ODDINOD,
  title={ODDIN: Ontology-driven differential diagnosis based on logical inference and probabilistic refinements},
  author={{\'A}ngel Garc{\'i}a-Crespo and Alejandro Rodr{\'i}guez Gonz{\'a}lez and Myriam Mencke and Juan Miguel G{\'o}mez-Berb{\'i}s and Ricardo Colomo Palacios},
  journal={Expert Syst. Appl.},
  year={2010},
  volume={37},
  pages={2621-2628}
}
Medical differential diagnosis (ddx) is based on the estimation of multiple distinct parameters in order to determine the most probable diagnosis. Building an intelligent medical differential diagnosis system implies using a number of knowledge based technologies which avoid ambiguity, such as ontologies rep resenting specific structured information, but also strategies such as computation of probabilities of var ious factors and logical inference, whose combination outperforms similar… CONTINUE READING

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