Computer-based consultations in clinical therapeutics: explanation and rule acquisition capabilities of the MYCIN system.

By Edward H. Shortliffe, R. Davis, S. G. Axline, Bruce G. Buchanan, C. Green, S. Cohen. 1975

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Citations in the corpus

On the Binding Problem in Artificial Neural Networks (2020, background): “…Expert systems that made use of decision trees to perform narrow problem solving for hardware design (Sollow et al., 1987) and medical diagnosis (Shortliffe et al., 1975); Natural language parsers that used a dictionary and a fixed set of grammatical rules to interpret written English; And…”
Unbox the black-box for the medical explainable AI via multi-modal and multi-centre data fusion: A mini-review, two showcases and beyond (2021, background): “…the 1970s, rule-based methods had many achievements and have been seen to interpret ECGs [23], identify diseases [24], choose optimal therapies [25], offer scientific logic explanations [26] and assist doctors in developing diagnostic hypotheses and theories in challenging cases of patients…”
Natural language processing framework to assess clinical conditions. (2009, background): “Expert and rule-base systems have a long history in healthcare, going back to the early efforts with Mycin”
Explainable Artificial Intelligence: a Systematic Review (2020, methodology): “For example, Mycin [3], probably the first method for explainability ever developed, is a backward chaining expert system based upon a knowledge-based of IF-THEN rules composed by an expert, a database of the context set of facts that satisfy the condition part of the rules, and an inference engine ”
Interactive and interpretable machine learning models for human machine collaboration (2015, background): “An expert system is defined as a computer system that emulates the decision-making abilities of human experts [75] and is of particular to the fields of medicine [120], fault diagnosis [3] and science [135].”
Predictive data mining in clinical medicine: Current issues and guidelines (2008, background): “Inspired by early expert systems like Mycin [70] and Internist [71] that were quite rooted in medical applications, the explicit communication of knowledge discovered from the data and the subsequent explanation of decisions when this knowledge is used in the classification of new cases is what is e”