Dealing with Medical Knowledge: Computers in Clinical by E. Carson, T. Deutsch, E. Ludwig
By E. Carson, T. Deutsch, E. Ludwig
In a scientific and transparent demeanour, the authors talk about the issues linked to scientific choice making and discover the present ways to resolve them. during this monograph, they learn the result of combining the classical regulate approach process with the symbolic ways that have been vital to advancements in man made intelligence. good illustrated with case experiences, this quantity will turn out to be a useful source to process scientists, engineers, laptop scientists, and participants of the clinical community.
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Additional info for Dealing with Medical Knowledge: Computers in Clinical Decision Making
Adapted from Garber and Ushakov (1991). If at this level a correction of the abnormality is not possible, activation of other loops, which are connected to the malfunctioning loop, takes place, with the aim being to return the failed link: to normal functioning with the minimum reorganization of the functioning of other loops. The normal functioning of negativefeedback loops ensures stabilization and reduction of a pathological process. In general, the development of cellular diseases over a substantial area leads to recognition of such diseases through symptoms, frequently by pain signals.
The structure of the system, that is, how the elements of the system interact, is described as a set of constraints between the state variables that should hold at any stage of the system's evolution in time. This set of constraints is the counterpart of the quantitative differential equations in the continuous domain that govern the system's evolution in time. Qualitative constraints between variables include arithmetic and functional relations. Arithmetic constraints include ADD, MULT, MINUS, and DERIY.
Once a rule is activated, the action (conclusion) it contains changes the state of the inference network. If a rule brings about a conclusion, we say that the rule has fired. Such conclusions may mean to add, delete, or modify some facts and/or rules in the knowledge base, which, in turn, can trigger other rules to become active. This iterative process leads to the ultimate conclusions (decisions) that the system makes. A general rule ''A implies B" can be used in a different reasoning context.