On Semantic, Rule-Based Reasoning in the Management of Functional Rehabilitation Processes

  • Laia Subirats
  • Luigi Ceccaroni
  • Cristina Gómez-Pérez
  • Ruth Caballero
  • Raquel Lopez-Blazquez
  • Felip Miralles
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 220)

Abstract

A clinical decision support system, based on rules described in the semantic web rule language and with semantic annotations from biomedical and time ontologies, is used to reason on processes modeled in the business process modeling notation. This paper, as a case study within the framework of functional rehabilitation processes, analyzes the modeling of the rehabilitation activity consisting of improving the upper limb functioning of patients. The clinical decision support system provides personalization of therapies and is powerful enough to deal with the special characteristics of a rehabilitation scenario, which includes several types of indicators, medical ontologies, and time annotations of different granularities. This paper presents the main lines of a rule-based, ontological framework to translate informal, descriptive methods about functional rehabilitation with an intuitive semantics to the formal representation needed by computational systems. A rule-based reasoning system is used for the representation of processes’ semantics and the modeling categories are based on well-accepted rehabilitation notions. We believe that the solution presented for functional rehabilitation can be generalized to other rehabilitation domains such as respiratory, cognitive and cardiac rehabilitation.

Keywords

Ontologies rule-based reasoning rehabilitation processes disabilities with neurological origin 

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References

  1. 1.
    Caballero-Hernández, R., Gómez-Pérez, C., Cáceres-Taladriz, C., García-Rudolph, A., Vidal-Samsó, J., Bernabeu-Guitart, M., Tormos-Muñoz, J.M., Gómez-Aguilera, E.J.: Modelado de Procesos de Neurorrehabilitación. In: Actas del XXIX Congreso Anual de la Sociedad Española de Ingeniería Biomédica (CASEIB 2011), Cáceres (España),, pp. 125–128 (2011)Google Scholar
  2. 2.
    Cichocki, A., Helal, A., Rusinkiewicz, M., Woelk, D.: Workflow and Process Automation. Kluwer Academic Publishers (1998)Google Scholar
  3. 3.
    Fry, E., Sottara, D.: Standards, Data Models, Ontologies, Rules: Prerequisites for Comprehensive Clinical Practice Guidelines. In: Palmirani, M. (ed.) RuleML 2011 - America. LNCS, vol. 7018, pp. 252–266. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  4. 4.
    Gómez-Pérez, C., Caballero-Hernández, R., Medina-Casanovas, J., Roig-Rovira, T., Vidal-Samsó, J., Bernabeu-Guitart, M., Cáceres-Taladriz, C., Tormos-Muñoz, J.M., Gómez-Aguilera, E.J.: Identificación de Oportunidades de Mejora en Procesos de Neurorrehabilitación. In: Actas de CASEIB 2012, San Sebastián, España (2012)Google Scholar
  5. 5.
    González-Ferrer, A., ten Teije, A., Fdez-Olivares, J., Milian, K.: Careflow planning: From time-annotated clinical guidelines to temporal hierarchical task networks. In: Peleg, M., Lavrač, N., Combi, C. (eds.) AIME 2011. LNCS, vol. 6747, pp. 265–275. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  6. 6.
    Horrocks, I., Patel-Schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M.: Swrl: A semantic web rule language combining owl and ruleml. W3c member submission (2004)Google Scholar
  7. 7.
    Jafarpour, B., Abidi, S.R., Abidi, S.S.R.: Exploiting OWL reasoning services to execute ontologically-modeled clinical practice guidelines. In: Peleg, M., Lavrač, N., Combi, C. (eds.) AIME 2011. LNCS, vol. 6747, pp. 307–311. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  8. 8.
    Kashyap, V., Morales, A., Hongsermeier, T.: On implementing clinical decision support: achieving scalability and maintainability by combining business rules and ontologies. In: AMIA Annu. Symp. Proc., pp. 414–418 (2006)Google Scholar
  9. 9.
    Miller, G.A.: The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review 63(2), 8197 (1956)CrossRefGoogle Scholar
  10. 10.
    O’Connor, M.J., Hernandez, G., Das, A.: A rule-based method for specifying and querying temporal abstractions. In: Peleg, M., Lavrač, N., Combi, C. (eds.) AIME 2011. LNCS, vol. 6747, pp. 255–259. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  11. 11.
    Pruski, C., Bonacin, R., Da Silveira, M.: Towards the formalization of guidelines care actions using patterns and semantic web technologies. In: Peleg, M., Lavrač, N., Combi, C. (eds.) AIME 2011. LNCS, vol. 6747, pp. 302–306. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  12. 12.
    Smith, F., Missikoff, M., Proietti, M.: Ontology-based querying of composite services. In: Ardagna, C.A., Damiani, E., Maciaszek, L.A., Missikoff, M., Parkin, M. (eds.) BSME 2010. LNCS, vol. 7350, pp. 159–180. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  13. 13.
    Wieringa, W., op den Akker, H., Jones, V.M., op den Akker, R., Hermens, H.J.: Ontology-based generation of dynamic feedback on physical activity. In: Peleg, M., Lavrač, N., Combi, C. (eds.) AIME 2011. LNCS, vol. 6747, pp. 55–59. Springer, Heidelberg (2011)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • Laia Subirats
    • 1
  • Luigi Ceccaroni
    • 1
  • Cristina Gómez-Pérez
    • 2
  • Ruth Caballero
    • 3
  • Raquel Lopez-Blazquez
    • 2
  • Felip Miralles
    • 1
  1. 1.Barcelona Digital Technology CentreBarcelonaSpain
  2. 2.Guttmann Institut Hospital for NeurorehabilitationBadalonaSpain
  3. 3.Biomedical Engineering and Telemedicine GroupTechnical University of MadridMadridSpain

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