CADUCEUS (expert system)

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CADUCEUS was a medical expert system, an early type of recommender system - by Harry Pople of the University of Pittsburgh. Finished in the mid-1980s, it was built on the INTERNIST-1 algorithm (1972-1973).[1] In its time, CADUCEUS was described as the "most knowledge-intensive expert system in existence".[2] CADUCEUS eventually could diagnose up to 1000 different diseases.

The

MYCIN, a recommender which focused on blood-borne infectious bacteria and instead embrace all internal medicine.[3]

While CADUCEUS worked using an inference engine similar to MYCIN's, it made a number of changes. As there can be a number of simultaneous diseases, and data is generally flawed and scarce it incorporated abductive reasoning to deal with the additional complexity of internal disease. A disease can manifest a set of signs and symptoms, and a manifestation can, in turn, evoke a disease. Relationships between symptoms and diagnosis were ranked from 0 to 5. 5 indicated that the symptom is always associated with the disease, while 0 indicated that the association was ambiguous. An initial list of symptoms entered by the practitioner would be evaluated by the program to suggest possible diseases related to these combinations.[3] These predictions were improved from INTERNIST-I by the use of constrictor relationships.[1]

See also

References

  1. ^
    doi:10.1016/0933-3657(94)00028-Q
    .
  2. Edward A. Feigenbaum and Pamela McCorduck
    . Addison-Wesley, Reading, Ma 01867, 275 Pp. Feb 1, 1984
  3. ^
    doi:10.1080/00325481.1984.11697944
    .

Further reading
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