Computational Methods for Discovering and Analyzing Causal Relationships in Health Data
Description:
Publicly available datasets in health science are often large and observational, in contrast to experimental datasets where a small number of data are collected in controlled experiments. Variables' causal relationships in the observational dataset are yet to be determined. However, there is a significant interest in health science to discover and analyze causal relationships from health data since identified causal relationships will greatly facilitate medical professionals to prevent diseases…
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Date:
August 2015
Creator:
Liang, Yiheng