Suggestive Therapeutic Pathways Using Hyper-Heuristics

P. Rattadilok, M. Mahfouf, J.J. Ross, G.H. Mills, G. Panoutsos, A. Zeghbib, Mouloud Denai

Research output: Contribution to conferencePaper


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
Original languageEnglish
Publication statusPublished - 2012
Event8th IFAC Symposium on Biological and Medical Systems - Budapest, Hungary
Duration: 29 Aug 201231 Aug 2012


Conference8th IFAC Symposium on Biological and Medical Systems


Dive into the research topics of 'Suggestive Therapeutic Pathways Using Hyper-Heuristics'. Together they form a unique fingerprint.

Cite this