An algorithm for approximating conditional probabilities.
When diagnostic programs are constructed within a probabilistic framework, it is often the case that computation of joint probabilities of exhaustive combinations of events is easy, but computation of the kind of conditional probabilities the user wishes to know, is hard. This paper describes a simple algorithm for computing the required values, and then suggests several heuristic optimizations that may enable suitable approximations to be obtained in a feasible time when the task is otherwise intractable. An account is given of a specific application of the method in the construction of a medical diagnostic program, which is described in more detail elsewhere.
Todd
B S
BS
St Cross College, Oxford, U.K.
D000465:Algorithms; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted; D005103:Expert Systems; D006801:Humans; D008432:Mathematical Computing; D008954:Models, Biological; D059348:Peripheral Nerve Injuries; D010525:Peripheral Nerves / Q000601:surgery; D011336:Probability; D012984:Software