Induction of Causal Relationships from a Time-Oriented Clinical Database: An Overview of the RX Project
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.
Cite
Text
Blum. "Induction of Causal Relationships from a Time-Oriented Clinical Database: An Overview of the RX Project." AAAI Conference on Artificial Intelligence, 1982.Markdown
[Blum. "Induction of Causal Relationships from a Time-Oriented Clinical Database: An Overview of the RX Project." AAAI Conference on Artificial Intelligence, 1982.](https://mlanthology.org/aaai/1982/blum1982aaai-induction/)BibTeX
@inproceedings{blum1982aaai-induction,
title = {{Induction of Causal Relationships from a Time-Oriented Clinical Database: An Overview of the RX Project}},
author = {Blum, Robert L.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1982},
pages = {355-357},
url = {https://mlanthology.org/aaai/1982/blum1982aaai-induction/}
}