Causal Understanding of Patient Illness in Medical Diagnosis

By R. Patil, Peter Szolovits, W. Schwartz. 1981

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Explanatory Power for Medical Expert Systems: Studies in the Representation of Causal Relationships for Clinical Consultations (1982, background): “The recent work of PATIL, SZOLOVITS, AND SCHWARTZ [13], who have separated such relationships into multiple levels of detail, has provided a promising approach to the solution of the last of these problems.”
Emerging paradigms of cognition in medical decision-making (2002, methodology): “This approach was exemplified by ABEL, a consultation system for electrolyte and acid-base disorders [83].”
Graphical Explanation in Belief Networks (1997, background): “Patil, et al. (1984) described a similar philosophy.”
An evaluation of explanations of probabilistic inference. (1992, background): “A comprehensive view of explanation is taken in the ABEL system (Patil et al., 1981).”
Capabilities of GPT-4 on Medical Challenge Problems (2023, background): “…probabilistic and decision-theoretic methods (e.g., [GB68, HHN92]), rule-based production systems (e.g., [Sho77, BS84]), semantic graphs (e.g., [PSS81]), supervised learning from databases of medical information (e.g., [WGH16, HHPS15, ELS + 20, CLG + 15]), and deep neural network models (e.g.,…”