Integrating case-based planning and RPTW neural networks to construct an intelligent environment for health care

This paper presents an intelligent environment developed for monitoring patients' health care in execution time in hospital environments. The CBPMP (case-based planner for monitoring patients) is an autonomous deliberative case-based planner designed to plan the nurses' working time dynamically, to maintain the standard working reports about the nurses' activities, and to guarantee that the patients assigned to the nurses are given the right care. The planner operates in wireless devices and is integrated with complementary software into an intelligent environment, named AmI-P (Ambient Intelligence for patients). CBPMP description, its relationship with the complementary technology, and preliminary results of system prototype in a real environment are presented.

[1]  Javier Bajo,et al.  Intelligent environment for monitoring Alzheimer patients, agent technology for health care , 2008, Decis. Support Syst..

[2]  Kwong-Sak Leung,et al.  An efficient self-organizing map designed by genetic algorithms for the traveling salesman problem , 2003, IEEE Trans. Syst. Man Cybern. Part B.

[3]  Emile H. L. Aarts,et al.  The New Everyday: Views on Ambient Intelligence , 2003 .

[4]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1988, IJCAI 1989.

[5]  Giordano Lanzola,et al.  A framework for building cooperative software agents in medical applications , 1999, Artif. Intell. Medicine.

[6]  Juan M. Corchado,et al.  Constructing deliberative agents with case‐based reasoning technology , 2003, Int. J. Intell. Syst..

[7]  Samir El-Masri,et al.  A survey of agent-based intelligent decision support systems to support clinical management and research , 2005, AAMAS 2005.

[8]  Keith S. Decker,et al.  Coordinated hospital patient scheduling , 1998, Proceedings International Conference on Multi Agent Systems (Cat. No.98EX160).

[9]  Sean R Eddy,et al.  What is dynamic programming? , 2004, Nature Biotechnology.

[10]  David J. Israel,et al.  Plans and resource‐bounded practical reasoning , 1988, Comput. Intell..

[11]  Ralph Bergmann,et al.  Representation in case-based reasoning , 2005, The Knowledge Engineering Review.

[12]  Monique Calisti,et al.  Whitestein Series in Software Agent Technologies , 2005 .

[13]  A. Wall,et al.  Book ReviewTo Err is Human: building a safer health system Kohn L T Corrigan J M Donaldson M S Washington DC USA: Institute of Medicine/National Academy Press ISBN 0 309 06837 1 $34.95 , 2000 .

[14]  Luis M. Camarinha-Matos,et al.  Collaborative business ecosystems and virtual enterprises : IFIP TC5/WG5.5 third Working Conference on Infrastructures for Virtual Enterprises (PRO-VE '02), May 1-3, 2002, Sesimbra, Portugal , 2002 .

[15]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[16]  Teuvo Kohonen,et al.  In: Self-organising Maps , 1995 .

[17]  Michael Friedewald,et al.  Science and Technology Roadmapping: Ambient Intelligence in Everyday Life (AmI@Life) , 2003 .

[18]  Hamideh Afsarmanesh,et al.  Design of a Virtual Community Infrastructure for Elderly Care , 2002, PRO-VE.

[19]  Randy L. Haupt,et al.  Practical Genetic Algorithms , 1998 .

[20]  L. Kohn,et al.  To Err Is Human : Building a Safer Health System , 2007 .

[21]  Nicholas R. Jennings,et al.  Agent Theories, Architectures, and Languages: A Survey , 1995, ECAI Workshop on Agent Theories, Architectures, and Languages.

[22]  Karl E. Keick.  Cosmos vs. chaos: Sense and nonsense in electronic contexts , 1985 .

[23]  Kwong-Sak Leung,et al.  An expanding self-organizing neural network for the traveling salesman problem , 2004, Neurocomputing.

[24]  Kristian J. Hammond,et al.  Case-Based Planning: Viewing Planning as a Memory Task , 1989 .

[25]  Nils J. Nilsson,et al.  A Formal Basis for the Heuristic Determination of Minimum Cost Paths , 1968, IEEE Trans. Syst. Sci. Cybern..

[26]  Luca Spalazzi,et al.  A Survey on Case-Based Planning , 2004, Artificial Intelligence Review.

[27]  Scapolo Fabiana,et al.  That's what Friends are for. Ambient Intelligence (AmI) and the Information Society in 2010 , 2005 .

[28]  David E. Wilkins,et al.  Practical planning - extending the classical AI planning paradigm , 1989, Morgan Kaufmann series in representation and reasoning.

[29]  Luca Spalzzi,et al.  A Survey on Case-Based Planning , 2001 .

[30]  Pragya Agarwal,et al.  Self-Organising Maps , 2008 .

[31]  Hector Muñoz-Avila,et al.  Case-based planning , 2005, The Knowledge Engineering Review.

[32]  Constantine Stephanidis,et al.  Universal access to ambient intelligence environments: Opportunities and challenges for people with disabilities , 2005, IBM Syst. J..

[33]  Antonio Moreno,et al.  Applications of Software Agent Technology in the Health Care Domain , 2004, Whitestein Series in Software Agent Technologies and Autonomic Computing.