Suggestive therapeutic pathways using hyper-heuristics

Prapa Rattadilok, Mahdi Mahfouf, Jonathan J. Ross, Gary H. Mills, George Panoutsos, Abdelhafid Zeghbib, Mouloud Denaï

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Therapeutic decision support can be used to promptly assist clinical decision making process. This paper presents a new 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.

Original languageEnglish
Title of host publicationProceedings of the 8th IFAC Symposium on Biological and Medical Systems, BMS 2012
PublisherIFAC Secretariat
Pages397-402
Number of pages6
Edition18
ISBN (Print)9783902823106
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event8th IFAC Symposium on Biological and Medical Systems, BMS 2012 - Budapest, Hungary
Duration: 29 Aug 201231 Aug 2012

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Number18
Volume45
ISSN (Print)1474-6670

Conference

Conference8th IFAC Symposium on Biological and Medical Systems, BMS 2012
Country/TerritoryHungary
CityBudapest
Period29/08/1231/08/12

Keywords

  • Cardiovascular system model
  • Clinical decision support system
  • Hemodynamics
  • Hyper-heuristic
  • Intensive care unit

ASJC Scopus subject areas

  • Control and Systems Engineering

Fingerprint

Dive into the research topics of 'Suggestive therapeutic pathways using hyper-heuristics'. Together they form a unique fingerprint.

Cite this