Mining causal graphs from patient records

Electronic patient records are a rich resource of current practice in the health domain; practitioners meticulously record how they diagnosed and treated their patients. Often these records provide a more up­to­date overview of treatment patterns than medical guidelines, as medical practice often differs for good reasons from the idealised guidelines. In this project, we will create a structured graph representation of medical practitioners’ actions in response to observing particular symptoms. This graph will allow us to analyse the types of treatments practitioners choose, and to compare these treatments to those proposed in guidelines.

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