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As we have already shown in earlier projects the abstract descriptions of diseases which have been semi-automatically generated from a data base of patients of our Medical Facility produce a better diagnostic accuracy in a case-based consultation system than an equivalent knowledge base compiled from cases in the medical literature. We identified an ordered set of cognitive basic functions which forms a “tool kit” for a consultation process between physician and machine. For the first time, as we can see, there had been defined a mapping from medical basic functions onto the set of case-based and general methods which form the cognitive basis of a cognitive open consultation system. We will use such methods in a consultation system for intensive care.
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