Mycin is a program that
diagnoses infectious diseases. It reasons backward from its goal of
determining the cause of a patient illness. It attempts to solve its
goal of recommending a therapy for a particular patient by first finding
the cause of the patient’s illness. It uses its production rule4s to
reason backward from goals to clinical observations. To solve the
top-level diagnostic goal, it looks for rules whose right sides suggest
diseases. It then uses the left sides of those rules (the preconditions)
to set up sub goals whose success would enable the rules to be invoked .
these sub goals are again matched against rules, and their
preconditions are used to set up additional sub goals.
Mycin is a well
known rule based deduction system. Its expertise lies in the domain of
bacterial Infections. Physicians usually must begin antibiotic treatment
for patient who have bacterial infections without knowledge exactly
which organism is the culprit. There is no time to wait for definitive
laboratory culture evidence, which accumulates too slowly. For the
desperately sick, therapy must begin at once – not 2 days from can
either prescribe a broad – spectrum drug that covers all possibilities ,
or she can prescribed a better, disease – specific drug.
Here is an except from a sample sessions:
What is the patient’s Name ?
john Doe.
- Male or female?
Male
- Age ?
He is 55.
- Have you obtained positive cultures indicating general type ?
yes
- What type of inflection is it ?
Primary bacteremia
- When did symptoms first appear ?
May 5
- Let’s call the most positive culture CI. From what site was CI taken ?
from the blood.
- When ?
May 9
- Let’s call the first significant organism from this culture UI. Do you know identify of UI?
no
- Is UI a rod or a coccus or something else ?
Rod
- What is the gram stain of UI?
Gram negative.
- Have there been positive culture from sites that are not associated with the
inflections about which you are seeking advice?
No
As we proceed
through the processing stages of compute vision. We will no doubt be
impressed by the similarities and parallel one can draw between vision
processing and natural language processing . The - sensor stage in
vision corresponds to speech recognization language understanding, the
low and intermediate processing levels of vision correspond to syntactic
and semantic language processing respectively, and high level
processing, in both cases corresponds to the process of building and
interpreting high level knowledge structures.
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