By Isabelle Bichindaritz, Sachin Vaidya, Ashlesha Jain
This ebook is a continuation of the volumes delivering a variety of per-spectives on computational intelligence in healthcare [1-3]. This e-book is aimed to supply a pattern of the nation of paintings within the prac-tical purposes of computational intelligence paradigms in health-care. It comprises nineteen chapters on utilizing a variety of computational clever paradigms in healthcare akin to clever brokers and case-based reasoning. a few functions and case stories are awarded. This ebook is concentrated in the direction of scientists, program engineers, pro-fessors, healthiness execs, professors and students.
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Extra resources for Computational Intelligence in Healthcare 4: Advanced Methodologies
Int. J. Med. Inf. : GerAmi: Improving Healthcare Delivery in Geriatric Residences. IEEE Intell. Syst. : Agents and Healthcare: Usability and Acceptance. , Urdiales, C. ) Agent Technology and eHealth, pp. 1–4. : Supported Human Autonomy for Recovery and Enhancement of Cognitive and Motor Abilities Using Agent Technologies. , Urdiales, C. ) Agent Technology and e-Health, pp. 117–140. : UCTx: A Multi-agent Approach to Model a Transplant Coordination Unit. : Integration of hospital data using agent technologies - A case study.
Acknowledgements The work has been supported by a URV grant, and partially supported by the EU funded project K4Care (IST-2004-026968) and the Spanish-funded project Hygia (TIN2006-15453-C04-01). The authors would also like to acknowledge the work performed by other members of the K4Care project consortium, especially the medical partners, led by Dr. Fabio Campana, and Dr. David Riaño (project co-ordinator and designer of the SDA* formalism). : Healthcare and ICT, partnership is a must. Int. J.
Moreno owns all the information related to the services in which it is involved and manages all queries and requests coming from the associated user or other Actor Agents. They also incorporate all the details about user’s roles and permissions according to the organizational data available in the knowledge bases (specifically, the Actor Profile Ontology). In fact, Actor Agents’ code is partially created in an automated fashion from the knowledge stored in those structures. Concretely, agent behaviour skeletons are created from the skill definitions stored in the ontologies.
Computational Intelligence in Healthcare 4: Advanced Methodologies by Isabelle Bichindaritz, Sachin Vaidya, Ashlesha Jain