Titlebook: Discovery and Representation of Causal Relationships from a Large Time-Oriented Clinical Database: T; The RX Project Robert L. Blum Confere

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The Study Module,e Discovery Module or interactively from a researcher. It then generates a medically and statistically plausible model of the hypothesis that it analyzes on appropriate data from the database. Results that are medically and statistically significant are then encoded by it into the RX knowledge base.

EXCEL

Statistical Analysis of Longitudinal Data,ge base. The hypothesis may have been obtained either manually from a researcher or automatically from the Discovery Module. Once the statistical model has been formulated, a statistical package is automatically invoked, and the model is tested on the appropriate set of data from the database.

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Summary, Applications, Future Development,arch and presents some of the notions that, I believe, must be captured by any system that derives probabilistic causal relationships empirically from time-oriented survey data. The second section presents the rationale for the development of the project from the standpoint of clinical and epidemiol

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Discovery and Representation of Causal Relationships from a Large Time-Oriented Clinical Database: TThe RX Project

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Conference proceedings 1982findings and recommendations in the literature to one‘s own patients. One serious consequence of these characteristics of the medical literature is that patients are largely overtreated. Tests and treatments are over-prescribed, and adverse effe

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0172-7788 apply the findings and recommendations in the literature to one‘s own patients. One serious consequence of these characteristics of the medical literature is that patients are largely overtreated. Tests and treatments are over-prescribed, and adverse effe978-3-540-11962-3978-3-642-93235-9Series ISSN 0172-7788