This paper outlines a modular, microcomputer and videodisc expert system, for patients with mechanical low back pain. The system incorporate facts, rules, and methods to extract data, opinions, information, and user preferences. It supports individual patient needs with a broad knowledge base, and analytical modelling techniques that connect flexible inference structures and user choices. Videodisc based expert systems help break the bottleneck in relevant medical knowledge representation. The expert system program serves the user in the capacity of teacher, confidant, interpreter, diagnostician, and adviser.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.