Suggestive therapeutic pathways using hyper-heuristics

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

doi:10.3182/20120829-3-HU-2029.00038

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 proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings of the 8th IFAC Symposium on Biological and Medical Systems, BMS 2012
Publisher	IFAC Secretariat
Pages	397-402
Number of pages	6
Edition	18
ISBN (Print)	9783902823106
DOIs	https://doi.org/10.3182/20120829-3-HU-2029.00038
Publication status	Published - 2012
Externally published	Yes
Event	8th IFAC Symposium on Biological and Medical Systems, BMS 2012 - Budapest, Hungary Duration: 29 Aug 2012 → 31 Aug 2012

Publication series

Name	IFAC Proceedings Volumes (IFAC-PapersOnline)
Number	18
Volume	45
ISSN (Print)	1474-6670

Conference

Conference	8th IFAC Symposium on Biological and Medical Systems, BMS 2012
Country/Territory	Hungary
City	Budapest
Period	29/08/12 → 31/08/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Free Keywords

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

ASJC Scopus subject areas

Control and Systems Engineering

Access to Document

10.3182/20120829-3-HU-2029.00038

Cite this

Rattadilok, P., Mahfouf, M., Ross, J. J., Mills, G. H., Panoutsos, G., Zeghbib, A., & Denaï, M. (2012). Suggestive therapeutic pathways using hyper-heuristics. In Proceedings of the 8th IFAC Symposium on Biological and Medical Systems, BMS 2012 (18 ed., pp. 397-402). (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 45, No. 18). IFAC Secretariat. https://doi.org/10.3182/20120829-3-HU-2029.00038

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keywords = "Cardiovascular system model, Clinical decision support system, Hemodynamics, Hyper-heuristic, Intensive care unit",

author = "Prapa Rattadilok and Mahdi Mahfouf and Ross, \{Jonathan J.\} and Mills, \{Gary H.\} and George Panoutsos and Abdelhafid Zeghbib and Mouloud Dena{\"i}",

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doi = "10.3182/20120829-3-HU-2029.00038",

language = "English",

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series = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

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Rattadilok, P, Mahfouf, M, Ross, JJ, Mills, GH, Panoutsos, G, Zeghbib, A & Denaï, M 2012, Suggestive therapeutic pathways using hyper-heuristics. in Proceedings of the 8th IFAC Symposium on Biological and Medical Systems, BMS 2012. 18 edn, IFAC Proceedings Volumes (IFAC-PapersOnline), no. 18, vol. 45, IFAC Secretariat, pp. 397-402, 8th IFAC Symposium on Biological and Medical Systems, BMS 2012, Budapest, Hungary, 29/08/12. https://doi.org/10.3182/20120829-3-HU-2029.00038

Suggestive therapeutic pathways using hyper-heuristics. / Rattadilok, Prapa; Mahfouf, Mahdi; Ross, Jonathan J. et al.
Proceedings of the 8th IFAC Symposium on Biological and Medical Systems, BMS 2012. 18. ed. IFAC Secretariat, 2012. p. 397-402 (IFAC Proceedings Volumes (IFAC-PapersOnline); Vol. 45, No. 18).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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AU - Mills, Gary H.

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AU - Zeghbib, Abdelhafid

AU - Denaï, Mouloud

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AB - 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.

KW - Cardiovascular system model

KW - Clinical decision support system

KW - Hemodynamics

KW - Hyper-heuristic

KW - Intensive care unit

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M3 - Conference contribution

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ER -

Suggestive therapeutic pathways using hyper-heuristics

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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Cite this