Advances in Computational Intelligence in Healthcare - Computational Intelligence in Healthcare: Advanced Methodologies - page 3

agents. Chapter 6 reports the development of an intelligent pedestrian aid for elders.
The use of intelligent agents to support mobility and communication in senior citizens
is demonstrated.
The third part presents a sample of of Case-Based Reasoning (CBR) paradigms in
healthcare. Chapter 7 presents a broad overview of CBR in health sciences. Chapter 8
is on intelligent signal analysis using CBR for decision support in stress management.
Chapter 9 is on CBR in a travel medicine application. Chapter 10 presents the applica-
tion of CBR to implement case-based retrieval as a decision support strategy in
healthcare. Chapter 11 presents a framework for model building in image processing
by meta-learning based on CBR. Chapter 12 presents a scheme using CBR to explain
cases that do not fit a statistical model in healthcare applications. Chapter 13 presents
the use of computational intelligence techniques for classification in microarray
analysis.
The final part presents a sample of practical applications of the computational
intelligence paradigms in healthcare. Chapter 14 presents an overview of Web 2.0
novelties and describes how medical information can be exploited in favour of the
community. Chapter 15 presents an approach for the intelligent monitoring in the
cardiac domain. Chapter 16 presents a computational intelligence-based approach to
analyse the lesions of human organs as well as supporting the management of medical
units. Chapter 17 presents a Bayesian network-based approach for multi-view analysis
of mammograms. Chapter 18 presents the pattern classification techniques for lung
cancer diagnosis by an electronic nose. The final chapter reports a portable wireless
solution for back pain telemonitoring.
3 Conclusions
The chapter has provided a brief introduction to the topic. The main purpose of the
topic is to bring together a sample of some of the important developments in the use
of computational intelligence in healthcare.
References
[1] Cerrito, P.B.: Choice of Antibiotic in Open Heart surgery. Intelligent Decision Technolo-
gies-An International Journal 1(1-2), 63-69 (2007)
[2] De Paz, J.F., et al.: Case-based Reasoning as a Decision Support System for Cancer Di-
agnosis: A Case Study. International Journal of Hybrid Intelligent Systems 6(2), 97-110
(2009)
[3] Goel, P., et al.: On the Use of Spiking Neural Networks for EEG Classification. Interna-
tional Journal of Knowledge-Based and Intelligent Engineering Systems 12(4), 295-304
(2008)
[4] Hüllermeier, E.: Case Based Approximate Reasoning. Springer, Heidelberg (2007)
[5] Husmeier, D., Dybowski, R., Roberts, S. (eds.): Probabilistic Modelling in Bioinformat-
ics and Medical Informatics. In: Wu, X., Jain, L.C. (eds.) Advanced Information and
Knowledge Processing Series. Springer, Heidelberg (2005)
[6] Ichalkaranje, N., Ichalkaranje, A., Jain, L.C. (eds.): Intelligent Paradigms for Assistive
and Preventive Healthcare. Springer, Heidelberg (2006)