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Articles

An effective framework for finding similar cases of dengue from audio and text data using domain thesaurus and case base reasoning

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Pages 155-172 | Received 16 Apr 2016, Accepted 23 Jan 2017, Published online: 01 Feb 2017

References

  • Adomavicius, G., and A. Tuzhilin. 2005. “Toward the Next Generation of Recommender Systems: A Survey of the State of the Art and Possible Extensions.” IEEE Transactions on Knowledge and Data Engineering 17 (6): 734–749. doi:10.1109/TKDE.2005.99.
  • Amini, B., R. Ibrahim, M. S. Othman, and M. A. Nematbakhsh. 2015. “A Reference Ontology for Profiling Scholar’s Background Knowledge in Recommender Systems.” Expert Systems Applications 42 (2): 913–928. doi:10.1016/j.eswa.2014.08.031.
  • Araz, O. M., J. W. Fowler, T. W. Lant, and M. Jehn. 2009. “A Pandemic Influenza Simulation Model for Preparedness Planning.” In Proc. - Winter Simul. Conf., 1986–1995.
  • Botelho, G. 2015.“Dengue Fever Outbreak Hits Hawaii Residents, Visitors - Cnn.Com”. [ Online]. Accessed October 01 2016. http://edition.cnn.com/2015/11/07/health/hawaii-dengue-fever/.
  • Cao, H., G. B. Melton, M. Markatou, and G. Hripcsak. 2008. “Use Abstracted Patient-Specific Features to Assist an Information-Theoretic Measurement to Assess Similarity between Medical Cases.” Journal of Biomedical Informatics 41 (6, December): 882–888. doi:10.1016/j.jbi.2008.03.006.
  • Castro-Schez, J. J., R. Miguel, D. Vallejo, and L. M. López-López. 2011. “A Highly Adaptive Recommender System Based on Fuzzy Logic for B2C E-Commerce Portals.” Expert Systems Applications 38 (3): 2441–2454. doi:10.1016/j.eswa.2010.08.033.
  • Champiri, Z. D., S. R. Shahamiri, and S. S. B. Salim. 2015. “A Systematic Review of Scholar Context-Aware Recommender Systems.” Expert Systems Applications 42 (3): 1743–1758. doi:10.1016/j.eswa.2014.09.017.
  • Chen, J., Y. Chen, X. Du, C. Li, J. Lu, S. Zhao, and X. Zhou. 2013. “Big Data Challenge: A Data Management Perspective.” Frontiers Computation Sciences 7 (2): 157–164. doi:10.1007/s11704-013-3903-7.
  • Colombo-Mendoza, L. O., R. Valencia-García, A. Rodríguez-González, G. Alor-Hernández, and J. J. Samper-Zapater. 2015. “Recommetz: A Context-Aware Knowledge-Based Mobile Recommender System for Movie Showtimes.” Expert Systems Applications 42 (3, Feburary): 1202–1222. doi:10.1016/j.eswa.2014.09.016.
  • Costa-Montenegro, E., A. B. Barragáns-Martínez, and M. Rey-López. 2012. “Which App? A Recommender System of Applications in Markets: Implementation of the Service for Monitoring Users’ Interaction.” Expert Systems Applications 39 (10): 9367–9375. doi:10.1016/j.eswa.2012.02.131.
  • Crespo, R. G., O. S. Martínez, J. M. C. Lovelle, B. C. P. García-Bustelo, J. E. L. Gayo, and P. O. De Pablos. 2011. “Recommendation System Based on User Interaction Data Applied to Intelligent Electronic Books.” Computers in Human Behavior 27 (4): 1445–1449. doi:10.1016/j.chb.2010.09.012.
  • Duan, L., W. N. Street, and E. Xu. 2011. “Healthcare Information Systems: Data Mining Methods in the Creation of a Clinical Recommender System.” Enterprise Information Systems 5 (2, May): 169–181. doi:10.1080/17517575.2010.541287.
  • Ferreira, J. R., M. C. Oliveira, and A. L. Freitas, “Performance Evaluation of Medical Image Similarity Analysis in a Heterogeneous Architecture,” in 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014, pp. 159–164.
  • Ganesan, P., H. Garcia-Molina, and J. Widom. 2003. “Exploiting Hierarchical Domain Structure to Compute Similarity.” ACM Transactions Information Systems 21 (1, January): 64–93. doi:10.1145/635484.
  • GitHub - Aneesha/RAKE. 2015. [ Online]. Accessed October 02 2016]. https://github.com/aneesha/RAKE
  • Griebel, L., H.-U. Prokosch, F. Köpcke, D. Toddenroth, J. Christoph, I. Leb, I. Engel, and M. Sedlmayr. 2015. “A Scoping Review of Cloud Computing in Healthcare.” BMC Medical Informatics and Decision Making 15 (1, March): 17–30. doi:10.1186/s12911-015-0145-7.
  • History and Origin of Dengue Virus. [Online]. Accessed October 01 2016. http://www.denguevirusnet.com/history-of-dengue.html
  • Isinkaye, F. O., Y. O. Folajimi, and B. A. Ojokoh. 2015. “Recommendation Systems: Principles, Methods and Evaluation.” Egyptian Informatics Journal 16 (3): 261–273. doi:10.1016/j.eij.2015.06.005.
  • Ji, C., Y. Li, W. Qiu, U. Awada, and K. Li, “Big Data Processing in Cloud Computing Environments,” in 12th International Symposium on Pervasive Systems, Algorithms and Networks, 2012, pp. 17–23.
  • Kim, H., and H.-J. Kim. 2014. “A Framework for Tag-Aware Recommender Systems.” Expert Systems Applications 41 (8): 4000–4009. doi:10.1016/j.eswa.2013.12.019.
  • Lee, K., and K. Lee. 2015. “Escaping Your Comfort Zone: A Graph-Based Recommender System for Finding Novel Recommendations among Relevant Items.” Expert Systems Applications 42 (10): 4851–4858. doi:10.1016/j.eswa.2014.07.024.
  • Li, X., X. Li, and Y. Y. Jin, “A Data-Driven Inference Algorithm for Epidemic Pathways Using Surveillance Reports in 2009 Outbreak of Influenza A (H1N1),” in 51st IEEE Conference on Decision and Control (CDC), 2012, pp. 2840–2845.
  • McNally, K., M. P. O’Mahony, M. Coyle, P. Briggs, and B. Smyth. 2011. “A Case Study of Collaboration and Reputation in Social Web Search.” ACM Transactions Intelligent Systems Technological 3 (1, October): 1–29. doi:10.1145/2036264.
  • Meng, S., W. Dou, X. Zhang, and J. Chen. 2014. “KASR: A Keyword-Aware Service Recommendation Method on Mapreduce for Big Data Applications.” IEEE Transactions Parallel Distrib Systems 25 (12, December): 3221–3231. doi:10.1109/TPDS.2013.2297117.
  • Núñez-Valdéz, E. R., J. M. Cueva Lovelle, O. Sanjuán Martínez, V. García-Díaz, P. Ordoñez De Pablos, and C. E. Montenegro Marín. 2012. “Implicit Feedback Techniques on Recommender Systems Applied to Electronic Books.” Computers in Human Behavior vol. 28 (4): 1186–1193. doi:10.1016/j.chb.2012.02.001.
  • Park, D. H., H. K. Kim, I. Y. Choi, and J. K. Kim. 2012. “A Literature Review and Classification of Recommender Systems Research.” Expert Systems Applications 39 (11): 10059–10072. doi:10.1016/j.eswa.2012.02.038.
  • Rao, V. S. H., and M. N. Kumar. 2012. “A New Intelligence-Based Approach for Computer-Aided Diagnosis of Dengue Fever.” IEEE Transactions on Information Technology in Biomedicine 16 (1, January): 112–118. doi:10.1109/TITB.2011.2171978.
  • Sarwar, B., G. Karypis, J. Konstan, and J. Reidl, “Item-Based Collaborative Filtering Recommendation Algorithms,” in Proceedings of the tenth international conference on World Wide Web - WWW ’01, 2001, pp. 285–295.
  • Talia, D. 2013. “Clouds for Scalable Big Data Analytics.” Computer (Long Beach Calif) 46 (5): 98–101.
  • Tan, S., J. Bu, C. Chen, B. Xu, C. Wang, and X. He. 2011. “Using Rich Social Media Information for Music Recommendation via Hypergraph Model.” ACM Transactions Multimed Computation Communicable Applications 7S (1, October): 1–22. doi:10.1145/2037676.2037679.
  • Van Den Broeck, W., C. Gioannini, B. Gonçalves, M. Quaggiotto, V. Colizza, and A. Vespignani. 2011. “The Gleamviz Computational Tool, a Publicly Available Software to Explore Realistic Epidemic Spreading Scenarios at the Global Scale.” BMC Infectious Diseases 11 (1, January): 37–47. doi:10.1186/1471-2334-11-37.
  • Winoto, P., and T. Y. Tang. 2010. “The Role of User Mood in Movie Recommendations.” Expert Systems Applications 37 (8): 6086–6092. doi:10.1016/j.eswa.2010.02.117.
  • Yang, X., Y. Guo, Y. Liu, and H. Steck. 2014. “A Survey of Collaborative Filtering Based Social Recommender Systems.” Computation Communicable 41: 1–10. doi:10.1016/j.comcom.2013.06.009.
  • Yuan, H., R. Y. K. Lau, and W. Xu. 2016. “The Determinants of Crowdfunding Success: A Semantic Text Analytics Approach.” Decisions Supportive Systems.
  • Zheng, N., and Q. Li. 2011. “A Recommender System Based on Tag and Time Information for Social Tagging Systems.” Expert Systems Applications 38 (4): 4575–4587. doi:10.1016/j.eswa.2010.09.131.
  • Zhou, X., and G. Yu, “Finding Criminal Suspects by Improving the Accuracy of Similarity Measurement,” in 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012, pp. 1145–1149.

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