ABSTRACT
In the current work, we present our position towards the modeling of a decision support system for health assessment and prevention of risky situations in the life of seniors. A two-layer architecture based on the Fuzzy Cognitive Maps (FCMs) methodology is considered as the main tool to encode medical knowledge and reason about the health status of seniors. This is the initial step, since outputs of several discrete FCM models are then combined to form the input concepts for an upper level schema (the health status of the senior) of upper-level concepts and relationships, so as to infer about recommended individualized therapies and interventions that would help therapists to prevent risky situations and enhance the independence and quality of life of the seniors. A modeling sample of the depression assessment is presented at the first level of the proposed architecture, while am integration schema of the proposed approach provides a view of our future extended model.
- Bongaarts, J. 2004. Population aging and the rising cost of public pensions. Population and Development Review 30.1, 1--23.Google Scholar
- Frantzidis, C. A., & Bamidis, P. D. 2009, June. Description and future trends of ICT solutions offered towards independent living: the case of LLM project. In Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Google ScholarDigital Library
- Kleinberger, T., Becker, M., Ras, E., Holzinger, A., Muller, P.: Ambient intelligence in assisted living: enable elderly people to handle future interfaces. In: Constantine Stephanidis (ed.) UAHCI'07 Proceedings of the 4th international conference on Universal access in humancomputer interaction: ambient interaction. LNCS, pp. 103--112. Springer-Verlag Berlin, Heidelberg (2007) Google ScholarDigital Library
- Artikis, A., Bamidis, P. D., Billis, A., Bratsas, C., Frantzidis, C., Karkaletsis, V., Klados, M., Konstantinidis, E., Konstantopoulos, S., Kosmopoulos, D., Papadopoulos, H., Perantonis, S., Petridis, S. & Spyropoulos, C. S., (2012, August). Supporting tele-health and AI-based clinical decision making with sensor data fusion and semantic interpretation: The USEFIL case study. Paper presented at the 1st International Workshop on Artificial Intelligence and NetMedicine, Montpellier, France.Google Scholar
- Panagiotis D. Bamidis, Evdokimos I. Konstantinidis, Antonis Billis, Christos Frantzidis, Magda Tsolaki, Walter Hlauschek, Efthyvoulos Kyriacou, Marios Neofytou and Constantinos S. Pattichis, A web services-based exergaming platform for senior citizens: the Long Lasting Memories project approach to e-health care, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011, Boston, USA.Google Scholar
- E. I. Papageorgiou, N. I. Papandrianos, G. Karagianni, G. C. Kyriazopoulos, D. Sfyras, A Fuzzy Cognitive Map based Tool for Prediction of Infectious Diseases, in Proc. IEEE International Conference on Fuzzy Systems (FUZZ), (2009), pp. 2094--2099.Google Scholar
- C. Stylios, V. Georgopoulos, Fuzzy Cognitive Maps Structure for Medical Decision Support Systems, in: Studies in Fuzziness and Soft Computing, vol. 218, pp. 151--174, Springer, 2008.Google Scholar
- E. I. Papageorgiou, A New Methodology for Decisions in Medical Informatics using Fuzzy Cognitive Maps based on Fuzzy Rule-Extraction Techniques, Applied Soft Computing, vol. 11, pp. 500--513, 2011. Google ScholarDigital Library
- D. Iakovidis & E. I. Papageorgiou: Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making, IEEE Trans Inf Technol Biomed. 2011 Jan;15(1):100--7. Google ScholarDigital Library
- B. Kosko: Fuzzy Cognitive Maps, International Journal of Man-Machine Studies, vol. 24, 1986, pp. 65--75. Google ScholarDigital Library
- E. I. Papageorgiou, C. D. Stylios, and P. Groumpos, An Integrated Two-Level Hi-erarchical Decision Making System based on Fuzzy Cognitive Maps (FCMs), IEEE Transactions on Biomedical Engineering 50 (12) (2003) 1326--1339.Google ScholarCross Ref
- E. I. Papageorgiou, Jos De Roo, Csaba Huszka, Dirk Colaert, Formalization of treatment guidelines using Fuzzy Cognitive Mapping and semantic web tools, Journal of Biomedical Informatics, 45(1): 45--60 (2012). Google ScholarDigital Library
- Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) Text Revision. (2000). 4th ed. American Psychiatric Association: Washington D.C.Google Scholar
Index Terms
- Towards a hierarchically-structured decision support tool for improving seniors' independent living: the USEFIL decision support system
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