Planning diagnostic imaging work-up strategies using case-based reasoning.
نویسنده
چکیده
ISIS is a developmental decision support system that helps physicians select diagnostic imaging procedures. It uses case-based reasoning, an artificial-intelligence approach that emphasizes reasoning and planning from prior experience. The development, training, and evaluation of a prototype system were used to guide the development of ISIS. To realize a clinically useful system, particular emphasis has been placed on increasing the depth and breadth of case-based knowledge, enhancing the explanatory capabilities of the system, and refining the human-computer interfaces to include a critiquing approach.
منابع مشابه
Clinical Trial and Evaluation of a Prototype Case-Based System for Planning Medical Imaging Work-up Strategies
This report describes the preliminary clinical trial and evaluation of ProtoISIS, a prototype case-based reasoning (CBR) system for medical decision support. ProtoISIS learned the domain of ultrasonography and body computed tomography from 200 consecutive cases of actual requests for imaging procedures. ProtoISIS was tested by presenting it with 100 new imaging-procedure requests. ProtoISIS cor...
متن کاملPerformance Issues in ADAPTER a Combined CBR-MBR Diagnostic Architecture
The present work describes some aspects of the diagnostic problem solving architecture of ADAPTER, a multi-modal reasoning system combining CaseBased Reasoning (CBR) and Model-Based Reasoning (MBR). In particular, some issues concerning the performance of such a combined architecture are discussed, with particular attention to the problem of maintaining under control the growth of the case memo...
متن کاملDiagnostic Case Retrieval Guided by Evaluation and Feedbac
In this project we study the effect of a user’s high-level expository goals upon the details of how case-based reasoning (CBR) is performed, and, vice versa the effect of feedback from CBR on them. Our thesis is that case retrieval should reflect the user’s ultimate goals in appealing to cases and that these goals can be affected by the cases actually available in a case base. To examine this t...
متن کاملHybrid Planning: An Approach to Integrating Generative and Case-Based Planning
This paper describes ongoing research on the development of a hybrid planning system that integrates casebased reasoning (CBR) methods into SIPE-2,t a generative planning system. Novel aspects of this work include the integration of CBR methods with a hierarchical task network (HTN) planner; the estimation of adaptation cost based on a classification of planning conditions; the reuse of plans u...
متن کاملDesign of An Intelligent Model for Strategic Planning in Mineral Holding: Case study, Shahab-Sang Holding
Business logic is one of the most important logics based on the decision matrix. However, using this logic alone and environmental uncertainty leads to problems such as low accuracy and integrity in strategic planning. In this work, we use an intelligent model based on the neural-fuzzy approach aiming at a desired decision-making and reducing the uncertainty in the strategic planning in mineral...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Proceedings. Symposium on Computer Applications in Medical Care
دوره شماره
صفحات -
تاریخ انتشار 1994