Abstract
The RX computer program examines a time-oriented clinical database and attempts to derive a set of (possibly) causal relationships. First, a Discovery Module uses lagged, nonparametric correlations to generate an ordered list of tentative relationships. Second, a Study Module uses a small knowledge base (KB) of medicine and statistics to create a study design to control for known confounders. The study design is then executed by an on-line statistical package, and the results are automatically incorporated into the KB as a machine-readable record. In determining the confounders of a new hypothesis the Study Module uses previously “learned” causal relationships.
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References
Blum, Robert L.: Discovery and Representation of Causal Relationships from a Large Time-Oriented Clinical Database: The RX Project; Ph.D. Thesis, Stanford University, January, 1982, available as Stanford Computer Science Department Technical Report STAN-CS-82-900.
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© 1982 Institute of Electrical and Electronics Engineers, Inc.
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Blum, R.L., Wiederhold, G.C.M. (1982). Studying Hypotheses on a Time-Oriented Clinical Database: An Overview of the RX Project. In: Reggia, J.A., Tuhrim, S. (eds) Computer-Assisted Medical Decision Making. Computers and Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-5108-8_14
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DOI: https://doi.org/10.1007/978-1-4612-5108-8_14
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