Induction of Causal Relationships From a Time-Oriented Clinical Database: An Overview of the RX Project
نویسنده
چکیده
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.
منابع مشابه
Discovery, confirmation, and incorporation of causal relationships from a large time-oriented clinical data base: the RX project.
In the mid-1970s Robert Blum, a physician with an interest in medical AI, went to Stanford as a fellow in clinical pharmacology and a doctoral student in computer science. He soon learned about the well-known TOD data base work of James Fries and Gio Wiederhold (the time-oriented data bank that is used as the basis for an international rheumatology network known as ARAMIS-the American Rheumatis...
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تاریخ انتشار 1982