A Model-Based Method for Computer-Aided Medical Decision Making Sholom

In the present paper, a general approach to structuring medical knowledge for computer-aided diagnosis and therapy is presented. We have developed a representation that models disease processes as a causal-associational network (CASNET). This model-based method has been used successfully in designing a consultation program for the diagnosis and long-term treatment of the glaucomas. The consultation program uses a set of general decision-making strategies in conjunction with a class of causal-associational models (Kulikowski and Weiss, 1971; Weiss, 1974). In this paper, examples will be given from a CASNET model of glaucoma.