University of Hertfordshire

Suggestive Therapeutic Pathways Using Hyper-Heuristics

Research output: Contribution to conferencePaper

  • P. Rattadilok
  • M. Mahfouf
  • J.J. Ross
  • G.H. Mills
  • G. Panoutsos
  • A. Zeghbib
  • Mouloud Denai
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Original languageEnglish
Pages397-402
DOIs
Publication statusPublished - 2012
Event8th IFAC Symposium on Biological and Medical Systems - Budapest, Hungary
Duration: 29 Aug 201231 Aug 2012

Conference

Conference8th IFAC Symposium on Biological and Medical Systems
CountryHungary
CityBudapest
Period29/08/1231/08/12

Abstract

Therapeutic decision support can be used to promptly assist clinical decision making process. This paper presents a novel approach to interpreting multiple data streams in intensive care environments, the resulting model can be used to correct and maintain patients' health whilst treating underlying illnesses. Rather than simply directing which treatments to be applied, multiple suggestive treatment pathways can be provided allowing several "what-if" scenarios to choose from. Hyper-heuristics are used to guide the treatments and therapeutic pathways selection. Algorithmic validation is made using a human cardiovascular system model parameterised with various post surgery conditions

ID: 2915788