Statistical and Knowledge‐Based Approaches to Clinical Decision‐Support Systems, with an Application in Gastroenterology
By David J. Spiegelhalter, R. Knill-Jones. 1984
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Peter Buhlmann
- Jan Peters
- Peter Spirtes
- Thomas S. Richardson
- Richard Scheines
- Bernhard Schölkopf
- Mathias Drton
- Marloes H. Maathuis
Citations in the corpus
- Monotonic Calibrated Interpolated Look-Up Tables (2015, background): “Näıve Bayes classifiers can be interpreted in terms of weights of evidence (Good, 1965; Spiegelhalter and Knill-Jones, 1984).”
- The BUGS project: Evolution, critique and future directions (2009, methodology): “For example, extremely influential work from Stanford featured rule-based systems in which uncertainty was handled using a system of ‘certainty factors’ attached to rules and manipulated according to somewhat arbitrary principles—this was labeled as ‘ad hoc quantitative mumbo-jumbo’ by a prominent s”
- Causation, prediction, and search (1993, methodology): “The SGS algorithm was proposed by Glymour and Spirtes in 1989, and appeared in Spirtes, Glymour and Scheines (1990c). Verma and Pearl (1990b) subsequently proposed a more efficient version that examines cliques.”
- Qualitative Verbal Explanations in Bayesian Belief Networks (1996, background): “, [10, 18, 20]), which is the logarithm of the likelihood ratio describing the in uence of the nding on the variable of interest.”
- Probabilistic similarity networks (2019, unknown): “If a certain symptom doesn't help to distinguish between a pair of diseases , the conditional probabilities of that symptom given either of the diseases must be the same.”
- Graphical Explanation in Belief Networks (1997, background): “John Tukey, in the discussion of Spiegelhalter and Knill-Jones (1984) suggested displaying the evidence balance sheet graphically.”
- Interpretable Boosted Naïve Bayes Classification (1998, background): “Spiegelhalter and Knill-Jones [1984] advocate the use of weights of evidence extensively in medical diagnosis and propose evidence balance sheets as a means of viewing the reasoning process of the naïve Bayes classifier. Madigan, et al [1996] and Becker, et al [1997] develop this idea further.”