By Roberta Annicchiarico, Ulises Cortes Garcia, Cristina Urdiales
Multi-agent platforms are essentially the most interesting examine components in synthetic Intelligence. This publication experiences at the effects accomplished during this region, discusses the advantages (and drawbacks) that agent-based platforms could carry to scientific domain names and society, and in addition presents a listing of the study issues that are meant to be tackled within the close to destiny to make the deployment of health-care agent-based structures a truth. present themes of analysis contain communique and co-operation among disbursed clever brokers to regulate sufferer care.
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Additional resources for Agent Technology and e-Health
Once available on the server, the readings can be used in numerous ways by home health agencies, by clinicians, by physicians, and by informal care providers. However remote healthcare monitoring systems will be exploited to their full potential when the analysis is also performed automatically through clinical decision support systems fed by expert knowledge. Clinical practice guidelines constitutes the most suitable source of information for building such clinical decision support systems. Clinical practice guidelines are the systematically developed statements designed to assist practitioners to make decisions about appropriate medical problems.
Laleci, A. Dogac, M. Olduz et al. com/. uk/systems andservices/spine. aspx. html.  A. Dogac, G. Laleci, S. Kirbas, Y. Kabak, S. Sinir, A. Yildiz, and Y. Gurcan, “Artemis: Deploying Semantically Enriched Web Services in the Healthcare Domain,” Information Systems Journal, special issue on Semantic Web and Web Services, vol. 31(4-5), pp. 321–339, 2006.  V. Bicer, G. Laleci, A. Dogac, and Y. Kabak, “Artemis Message Exchange Framework: Semantic Interoperability of Exchanged Messages in the Healthcare Domain,” ACM Sigmod Record, vol.
Marcos, “ Combining Diagnosis and Treatment using Asbru,” International Journal of Medical Informatics, vol. 68 (1-3), pp. 49–57, 2002.  M. Peleg, O. Ogunyemi, and S. Tu, “Using features of Arden Syntax with objectoriented medical data models for guideline modeling,” in Proceedings of AMIA Symposium, 2001, pp. 523–527.  S. Tu and M. Musen, “Modeling Data and Knowledge in the EON Guideline Architecture,” in Proceedings of MedInfo 2001, London, UK, 2001, pp. 280–284.  D. Wang, M. Peleg, S.