dermatomyositis 发表于 2025-3-30 08:52:30
http://reply.papertrans.cn/15/1487/148603/148603_51.pngEstrogen 发表于 2025-3-30 14:57:20
http://reply.papertrans.cn/15/1487/148603/148603_52.pnghomocysteine 发表于 2025-3-30 20:15:19
Nonspecific Interstitial Pneumonia,KA. The implications for DKA of previous research on diagrammatic representations and reasoning are considered. Examples of knowledge elicitation and knowledge analysis, with two different diagrammatic representations, are given. They demonstrate the feasibility of DKA. Issues raised by the analysis流浪者 发表于 2025-3-30 20:55:05
http://reply.papertrans.cn/15/1487/148603/148603_54.pngFOLLY 发表于 2025-3-31 01:48:48
Clinical Atlas of Interstitial Lung Disease (e.g. the world-wide-web) would indeed be very valuable data mines from which important and previously unknown knowledge could be harvested when machine learning procedures would be applied as mining tools. The present research evaluates the prospects of discovering such knowledge from industrial dmicroscopic 发表于 2025-3-31 06:05:50
http://reply.papertrans.cn/15/1487/148603/148603_56.pngVentilator 发表于 2025-3-31 11:34:34
http://reply.papertrans.cn/15/1487/148603/148603_57.pngSPURN 发表于 2025-3-31 13:50:49
Inhalation Fever and Chemical Pneumonitis,ms ask more focused questions and questions at a higher conceptual level. Two systems, REFINER+ and TIGON which illustrate this trend are described in some detail; these have been applied in the domains of patient management and diagnosis of turbine errors respectively. Other trends noted include:enumaerate 发表于 2025-3-31 21:06:46
Radiation-induced Lung Diseases,cribed. The role existing (generic) task models play in this process is illustrated for two domains of application, both domains requiring diagnostic reasoning. In both domains different levels of interaction between an expert user and a diagnostic reasoning system are distinguished.询问 发表于 2025-3-31 23:07:06
Nonspecific Interstitial Pneumonia,ry. GEM has been successfully used in four industrial projects to elicit knowledge from experts. In particular, in three of them it was used to elicit end-users‘ knowledge for the design of new knowledge-based user interfaces. An example is developed in the aeronautical domain. This paper discusses