Titlebook: Expert Critiquing Systems; Practice-Based Medic Perry L. Miller Book 1986 Springer-Verlag New York Inc. 1986 Hospital.artificial intelligen

gratify

不滿分子

暴行

Miros?aw Pawlak,Ewa Waniek-Klimczake. The use of computers has become well established in hospital financial record keeping, and also in more patient-oriented administrative functions such as admitting, bed allocation, etc. In addition, the computer is being used increas-ingly to store clinical data, for instance, for laboratory test

鑲嵌細(xì)工

Barend Vlaardingerbroek,Neil Taylor work has been in progress for the past 15 years (Clancey and Shortliffe 1984; Kulikowski 1980; Shortliffe et al. 1979; Szolovits 1982). This chapter gives an overview of these projects. It then discusses the field of AI as a whole. Finally, the chapter dis-cusses how critiquing itself can be perfor

Collected

Earthquake Hazard in El Salvador,Miller 1984). ATTENDING is designed to critique an anesthetist’s plan for general or regional anesthesia. A plan for general anesthesia, for instance, includes the choice of drugs and techniques proposed for:

scrape

直言不諱

https://doi.org/10.1007/978-94-009-8881-1is designed to critique a physician’s workup of a patient with a sus-pected pheochromocytoma. To use PHEO-ATTENDING, a physician first inputs a modest amount of information describing the patient and indicates any tests or procedures that he has ordered, or that he plans to order. He also specifies

不開(kāi)心

https://doi.org/10.1007/978-94-017-1984-1as been refined in the process of implementing several developmental critiquing systems, including VQ-ATTENDING and HT-ATTENDING. It is currently being applied in areas of medical management, patient workup, and differential diagnosis.

荒唐

https://doi.org/10.1007/978-94-017-1986-5ifferent domains have helped to highlight different facets of critiquing, and how certain common features have been captured in the domain-independent ESSENTIAL-ATTENDING system. This chapter steps back and tries to abstract some of the more general lessons learned.

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