Efficient discovery of risk patterns in medical data

@article{Li2009EfficientDO,
  title={Efficient discovery of risk patterns in medical data},
  author={Jiuyong Li and Ada Wai-Chee Fu and Paul Fahey},
  journal={Artificial intelligence in medicine},
  year={2009},
  volume={45 1},
  pages={77-89}
}
OBJECTIVE This paper studies a problem of efficiently discovering risk patterns in medical data. Risk patterns are defined by a statistical metric, relative risk, which has been widely used in epidemiological research. METHODS To avoid fruitless search in the complete exploration of risk patterns, we define optimal risk pattern set to exclude superfluous patterns, i.e. complicated patterns with lower relative risk than their corresponding simpler form patterns. We prove that mining optimal… CONTINUE READING
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