Title: Automated text summarisation and evidence-based medicine: A survey of two domains,
Abstract: The practice of evidence-based medicine (EBM) urges medical practitioners to
utilise the latest research evidence when making clinical decisions. Because of
the massive and growing volume of published research on various medical topics,
practitioners often find themselves overloaded with information. As such,
natural language processing research has recently commenced exploring
techniques for performing medical domain-specific automated text summarisation
(ATS) techniques-- targeted towards the task of condensing large medical texts.
However, the development of effective summarisation techniques for this task
requires cross-domain knowledge. We present a survey of EBM, the
domain-specific needs for EBM, automated summarisation techniques, and how they
have been applied hitherto. We envision that this survey will serve as a first
resource for the development of future operational text summarisation
techniques for EBM.