ABSTRACT
The use of new technologies in healthcare has real consequences for both patients and providers as well as potentially changing the entire system – for better or worse. Artificial intelligence has been characterized by many approaches since 1956. Several of the main ones have been expert or rule-based systems and knowledge representation systems. Automated Mathematician, and many other systems, had shown the importance of making representations of knowledge, i.e. facts and relationships, available to their inference engines. In Knowledge Base (KB) systems, knowledge was represented in several ways. In KNOVAX it took the form of frames. Frames were program constructs that organized knowledge about an object and provided it as values in “slots”. Most KB systems use algorithms or models to explore a set of information or knowledge, and develop models or make relationships on this basis. Rule-based or production systems use rules to facilitate knowledge structure, relationship-building, and reasoning.
