Design and evaluation of a tutoring module for computerized reference system Maclib to assist in differential diagnosis of primary brain tumors
Macura, Katarzyna J.
Macura, Robert T.
Nute, Donald E.
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MacLib is a Computerized Reference System to assist pathologists in the differentiation of brain tumors. The system provides a consulting module with collection of relevant images linked to a reasoning system for a close comparison with the analyzed material, and a reference system with several modules: correlated image and text databases; descriptions of particular diagnoses; differential diagnosis facility for comparing two different diagnostic hypotheses; references to relevant literature on particular diagnoses. This article presents our approach to designing a consulting system and adapting it to a tutoring environment. We concentrate on the knowledge acquisition stage and identification of different classes of users likely to use a system with analysis of their requirements and the types of knowledge they bring to bear on a problem. We explain the background and approach that we have taken to design the inferencing mechanism operating like an automated theorem prover.