Bayesian Networks in Medicine: a Model-based Approach to Medical Decision Making
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by Peter Lucas
http://www.csd.abdn.ac.uk/~plucas//eunite.pdf
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Abstract:
Bayesian networks have been introduced in the 1980s. Research to explore the use of the formalism in the context of medical decision making started in the 1990s. The formalism possesses the unique quality of being both a statistical and an AI-like knowledge-representation formalism. As it allows for structuring domain knowledge, by exploiting causal and other relationships between domain variables, the formalism is also model-based. In this paper the use of the formalism in building medical decision support systems in medicine is discussed, taking the problem of optimal prescription of antibiotics to patients with pneumonia in the ICU as a real-life example.
Citations
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| 26 | Citation Analysis – SMITH - 1981 |
| 18 | Computer-based decision-support in the management of primary gastric non-Hodgkin lymphoma – Lucas, Boot, et al. - 1998 |
| 11 | A Probabilistic and decisiontheoretic approach to the management of infectious disease at the ICU – Lucas, Bruijn, et al. - 2000 |
| 10 | A decision-theoretic network approach to treatment management and prognosis – Lucas, Boot, et al. - 1997 |
| 3 | Management of Respiratory Tract Infections – Bartlett - 1997 |
| 2 | Expert Knowledge and its Role in Learning Bayesian Networks in Medicine: an Appraisal – Lucas - 2001 |
| 1 | Temporal probabilistic knowledge for medical decision making – Bruijn, Lucas, et al. - 2001 |
