Abstract
Skeletal dysplasias comprise a group of genetic diseases characterized by highly complex, heterogeneous and sparse data. Performing efficient and automated knowledge discovery in this domain poses serious challenges, one of the main issues being the lack of a proper formalization. Semantic Web technologies can, however, provide the appropriate means for encoding the knowledge and hence enabling complex forms of reasoning. We aim to develop decision support methods in the skeletal dysplasia domain by applying uncertainty reasoning over Semantic Web data. More specifically, we devise techniques for semi-automated diagnosis and key disease feature inferencing from an existing pool of patient cases – that are shared and discussed in the SKELETOME community-driven knowledge curation platform. The outcome of our research will enable clinicians and researchers to acquire a critical mass of structured knowledge that will sustain a better understanding of these genetic diseases and foster advances in the field.
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References
Hudson, D.L.: Medical Expert Systems. In: Encyclopedia of Biomedical Engineering. John Wiley and Sons (2006)
Chan, K., et al.: Diagnosis of hypoglycemic episodes using a neural network based rule discovery system. Expert Systems with Applications (2011)
Papageorgiou, E.I., Papandrianos, N., Karagianni, G., Kyriazopoulos, G., Sfyras, D.: Fuzzy Cognitive Map Based Approach for Assessing Pulmonary Infections. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds.) ISMIS 2009. LNCS, vol. 5722, pp. 109–118. Springer, Heidelberg (2009)
Gadaras, I., Mikhailov, L.: An interpretable fuzzy rule-based classification methodology for medical diagnosis. Artificial Intelligence in Medicine 47(1), 25–41 (2009)
Schlicht, A., Stuckenschmidt, H.: Towards distributed ontology reasoning for the web. IEEE (2008)
Begum, S., et al.: Case-Based Reasoning Systems in the Health Sciences: A Survey of Recent Trends and Developments. IEEE Transactions on Systems, Man, and Cybernetics–Part C: Applications and Reviews (2010)
Wang, H.Q., Dash, D., Druzdzel, M.J.: A method for evaluating elicitation schemes for probabilistic models. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics 32(1), 38–43 (2002)
Lekkas, S., Mikhailov, L.: Evolving fuzzy medical diagnosis of Pima Indians diabetes and of dermatological diseases. Artificial Intelligence in Medicine 50(2), 117–126 (2010)
Dymova, L., Sevastjanov, P.: An interpretation of intuitionistic fuzzy sets in the framework of the dempster-shafer theory. Springer, Heidelberg (2010)
Goossen, F., et al.: News personalization using the CF-IDF semantic recommender. ACM (2011)
Lee, C.S., Wang, M.H.: A Fuzzy Expert System for Diabetes Decision Support Application. IEEE Transactions on Systems Man and Cybernetics Part B-Cybernetics 41(1), 139–153 (2011)
Patkos, T., Chrysakis, I., Bikakis, A., Plexousakis, D., Antoniou, G.: A Reasoning Framework for Ambient Intelligence. In: Konstantopoulos, S., Perantonis, S., Karkaletsis, V., Spyropoulos, C.D., Vouros, G. (eds.) SETN 2010. LNCS, vol. 6040, pp. 213–222. Springer, Heidelberg (2010)
Straccia, U.: Managing Uncertainty and Vagueness in Description Logics, Logic Programs and Description Logic Programs. In: Baroglio, C., Bonatti, P.A., Małuszyński, J., Marchiori, M., Polleres, A., Schaffert, S. (eds.) Reasoning Web. LNCS, vol. 5224, pp. 54–103. Springer, Heidelberg (2008)
Hussain, S., Raza Abidi, S., Raza Abidi, S.S.: Semantic Web Framework for Knowledge-Centric Clinical Decision Support Systems. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds.) AIME 2007. LNCS (LNAI), vol. 4594, pp. 451–455. Springer, Heidelberg (2007)
Andreasik, J., Ciebiera, A., Umpirowicz, S.: ControlSem–distributed decision support system based on semantic web technologies for the analysis of the medical procedures. In: 3rd Conference on Human System Interactions (HSI). IEEE (2010)
Prcela, M., Gamberger, D., Jovic, A.: Semantic web ontology utilization for heart failure expert system design. Studies in health technology and informatics 136, 851 (2008)
Warman, M.L., et al.: Nosology and classification of genetic skeletal disorders: 2010 revision. American Journal of Medical Genetics Part A (2010)
Paul, R., Hoque, A.S.M.: Mining irregular association rules based on action & non-action type data. In: Fifth International Conference on Digital Information Management (ICDIM). IEEE, Thunder Bay (2010)
Porzel, R., Malaka, R.: A task-based approach for ontology evaluation, Citeseer (2004)
Gupta, R., et al.: Quantitative evaluation of approximate frequent pattern mining algorithms. ACM (2008)
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Paul, R. (2011). DC Proposal: Decision Support Methods in Community-Driven Knowledge Curation Platforms. In: Aroyo, L., et al. The Semantic Web – ISWC 2011. ISWC 2011. Lecture Notes in Computer Science, vol 7032. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25093-4_26
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DOI: https://doi.org/10.1007/978-3-642-25093-4_26
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