Efficient Argumentation for Medical Decision-Making

نویسندگان

  • Robert Craven
  • Francesca Toni
  • Cristian Cadar
  • Adrian Hadad
  • Matthew Williams
چکیده

We describe the application of assumption-based argumentation (ABA) to a domain of medical knowledge derived from clinical trials of drugs for breast cancer. We adapt an algorithm for calculating the admissible semantics for ABA frameworks to take account of preferences and describe a prototype implementation which uses variant-based parallel computation to improve the efficiency of query answering.

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تاریخ انتشار 2012