By Edward H. Shortliffe
Computer-Based scientific Consultations: MYCIN specializes in MYCIN, a unique computer-based professional method designed to aid physicians with scientific judgements in regards to the collection of acceptable remedy for sufferers with infections. It discusses clinical computing, man made intelligence, and the medical areas of difficulty for which the MYCIN application is designed, and it describes intimately how the MYCIN software is helping physicians in making judgements.
Comprised of 7 chapters, this quantity starts with an outline of MYCIN and the factors utilized in its layout. It then discusses info constructions and keep an eye on buildings within the context of previous paintings relating to rule-based problem-solving, inferential version development and inexact reasoning in medication. The ebook additionally explores MYCIN'S skill to respond to questions with appreciate to its wisdom base and the main points of a particular session, evaluate and destiny extensions of the MYCIN process, the restrictions and accomplishments of MYCIN, and its contributions in synthetic intelligence and computer-based scientific selection making.
This ebook is a worthwhile resource of knowledge for computing device scientists and participants of the clinical neighborhood.
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Extra resources for Computer-Based Medical Consultations: Mycin
The following list of commonly used antimicrobial agents will introduce you to the names of several of these agents. , nonbrand names) with which the MYCIN system is familiar: ampicillin bacitracin carbenicillin cephalothin chloramphenicol clindamycin colistin erythromycin ethambutal gentamicin INH kanamycin methicillin nalidixic-acid nitrofurantoin penicillin polymyxin rifampin streptomycin sulfisoxazole tetracycline vancomycin PAS This list does not include the several nonbrand name antimicrobials that are chemically related to the generic drugs above but that have some distinctive feature such as a different preferred route of administration.
As a result, Wortman's information processing approach still relies upon the availability of data that reflect the preferences of the expert being modeled. MYCIN also needs such information. AI does not necessarily offer a means for avoiding numerical representation of data relationships, but does suggest new and potentially powerful methods for analyzing the problem domain and selecting relevant knowledge. It will be fascinating to observe Wortman's future work to see if his success continues as the range of possible diagnoses increases and the clinical problem areas are expanded.
Envisioning tiered levels of modeling addressed to various degrees of detail, they assert that an appropriate representation scheme provides an important basis for the design of diagnostic strategies [Amarel, 1972]. Their concern reflects a basic agreement with Gorry in his claim that a diagnostic program needs to "understand" the decisions that it reaches [Gorry, 1973a]. The problem area they have selected for testing their approach is the diagnosis and management of glaucoma. This is an ocular disease that may be characterized both by causal relationships over time and mathematical formulae reflecting fluid resistance and flow [Kulikowski, 1971].
Computer-Based Medical Consultations: Mycin by Edward H. Shortliffe