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Nancy E. Reed

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5

AAAI Conference 1998 Conference Paper

Constructing the Correct Diagnosis When Symptoms Disappear

  • Nancy E. Reed

When multiple defects (also called diseasesor faults) are present, there is a possibility of interac~~iolzsbetween the defects. When defects interact, the cues (data obtainable) for a combination of defects is not a simple sum of the cues observable for the component defects. Expected cues may be missing, altered, or new cues may appear. Each of these alterations of cues makes diagnosis more difficult, as the correct defect combination may not even be considered (triggered) by a diagnostic system. We present an algorithm for heuristic solution construction that integrates multiple types of information about the case. Solutions are evaluated based on how many of the abnormal cues are accounted for, with a method that combines cues that may be altered due to interactions between defects. The method can account for cues that combine with one another in three basic ways, set union, additively and ordered dominance (some values mask other values) or with a combination of those basic ways. For the solution space of one task, diagnosing congenital heart defects, we considered seven major defects and found the solution space (exhaustive) was reduced by approximately 50% because some of the defects could not physically occur together. Experimental results on casesfrom hospital files demonstrate the effectiveness of the heuristic solution construction algorithm to generate the correct solution early which reduced the number of solutions explored (compared to an exhaustive search) even further on most cases. With the computational power of current workstations, even casesrequiring exploration of this entire solution space required less than 4 minutes of CPU time per case.

AIIM Journal 1997 Journal Article

Diagnosing congenital heart defects using the Fallot computational model

  • Nancy E. Reed
  • Maria Gini
  • Paul E. Johnson
  • James H. Moller

This paper describes a computational model developed for the diagnosis of multiple defects. If multiple defects interact, meaning that the cues observable for multiple defects are not a sum of the cues observable for the component defects, diagnosis is particularly difficult. We developed a description and classification of the ways cues change when defects interact. A computational model (named Fallot) was implemented and a knowledge-base was constructed for the diagnosis of congenital heart defects. On each case, Fallot performs recognition-based reasoning followed by solution construction and evaluation with the cue combination methods. Fallot was tested on cases from hospital files and correctly diagnoses cases with multiple interacting defects for which conventional methods are not applicable or fail.

AAAI Conference 1994 Short Paper

Diagnosing Multiple Interacting Defects with Combination Descriptions

  • Nancy E. Reed

Cases with multiple defects can be difficult to diagnose because the defects can interact, meaning that the observable cues are not a sum of the cues for the component defects. Diagnostic methods that use cue-to-defect relationships fail when interactions between defects change the observable cues. The primary alternative, model-based methods, are limited to domains with accurate and complete models, along with initialization data. Using these traditional methods, when defects interact and models aren’t available, each possible defect combination must be included in the knowledge base. This results in an explosion of possible alternatives, greatly increased knowledge acquisition effort, slower processing, and increased maintenance effort.

AAAI Conference 1988 Conference Paper

Specialized Strategies: An Alternative to First Principles in Diagnostic Problem Solving

  • Nancy E. Reed

We introduce specialized strategies, an alternative level of reasoning, falling in generality between recognition-based reasoning and reasoning from first principles. These strategies are weak methods that are specific to a class of problems that occur in different domains. Specialized strategies are applicable not only to familiar problems in a domain, but also to problems that have not been anticipated. As a result they can provide both broad coverage currently given by “causal” reasoning and an efficiency close to that of “shallow” reasoning. The specialized strategies use inexact models of the components in the faulty system which contain only diagnostically relevant knowledge. Specialized strategies may be used in expert systems to increase efficiency, reduce brittleness, and decrease knowledge base construction effort compared to other common approaches. Examples are given from the domain of computer hardware diagnosis where two prototype expert systems were implemented.

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