title: Use of influence diagrams to structure medical decisions.
abstract: Influence diagrams are compact representations of decision problems that are mathematically equivalent to decision trees. The authors present five important principles for structuring a decision as an influence diagram: 1) start at the value node and work back to the decision nodes; 2) draw the arcs in the direction that makes the probabilities easiest to assess; 3) use informational arcs to specify which events will have been observed at the time each decision is made; 4) ensure that missing arcs reflect intentional assertions about conditional independence and the timing of observations; and 5) ensure that there are no cycles in the influence diagram. They then build an influence diagram for the problem of staging non-small-cell lung cancer as an illustration. Influence diagrams offer several strengths for structuring medical decisions. They represent graphically and compactly the probabilistic relationships between parameters in the model. Influence diagrams also allow the model to be structured in a fashion that eases the necessary probability assessments, regardless of whether the assessments are based on available evidence or on expert judgment. Influence diagrams provide an important complement to decision trees, especially for representing probabilistic relationships among variables in a decision model.
authors.affiliation: Department of Internal Medicine, Washington University, St. Louis, Missouri 63110, USA.
authors.forename: R F
authors.initials: RF
authors.lastname: Nease
authors.forename: D K
authors.initials: DK
authors.lastname: Owens
mesh_terms: D002289:Carcinoma, Non-Small-Cell Lung / Q000473:pathology; D003198:Computer Simulation; D003362:Cost-Benefit Analysis; D003661:Decision Support Techniques; D003663:Decision Trees; D003933:Diagnosis; D006801:Humans; D008175:Lung Neoplasms / Q000473:pathology; D008207:Lymphatic Metastasis; D008481:Mediastinoscopy / Q000191:economics; D009367:Neoplasm Staging / Q000191:economics; D013812:Therapeutics / Q000191:economics