Reasoning foundations of medical diagnosis; symbolic logic, probability, and value theory aid our understanding of how physicians reason.

By R. Ledley, L. Lusted. 1959

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Context-Aware Symptom Checking for Disease Diagnosis Using Hierarchical Reinforcement Learning (2018, background): “As stated in (Ledley and Lusted 1959), there are three components in a disease diagnosis process: (i) medical knowledge, (ii) signs and symptoms presented by the patient, and (iii) the final diagnosis itself.”
Towards accurate differential diagnosis with large language models (2023, unknown): “The options were: 5, DDx includes the correct diagnosis; 4, DDx contains something that is very close, but not an exact match to the correct diagnosis; 3, DDx contains something that is closely related and might have been helpful in determining the correct diagnosis; 2, DDx contains some-thing that…”
Review: From Data to Knowledge through Concept-oriented Terminologies: Experience with the Medical Entities Dictionary (2000, unknown): “Representation of medical knowledge was one of the first tasks addressed at the advent of medical informatics, starting with Ledley and Lusted's landmark paper”