A data-driven predictive system using Case-Based Reasoning for the configuration of device-assisted back pain therapy

References

• Aamodt, A., & Plaza, E. (1994). Case-based reasoning: Foundational issues, methodological variations, and system approaches. AI Communications, 7(1), 39–59.
   Web of Science ®Google Scholar
• Anandani, G., Shetty, G. M., Bafna, S., Narula, N., & Gandhi, A. (2015 07). Effectiveness of device-based therapy for conservative management of low back pain. Journal of Physical Therapy Science, 27(7), 2139–2141. Retrieved from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540835/.
   PubMedGoogle Scholar
• Andersson, G. B. (1999). Epidemiological features of chronic low-back pain. The Lancet, 354(9178), 581–585. Retrieved from: http://www.sciencedirect.com/science/article/pii/S0140673699013124
   PubMed Web of Science ®Google Scholar
• Bach, K., Szczepanski, T., Aamodt, A., Gundersen, O. E., & Mork, P. J. (2016). Case representation and similarity assessment in the selfback decision support system. In A. K. Goel, M. B. Díaz-Agudo, & T. Roth-Berghofer(Eds., Case-based reasoning research and development - 24th international conference, ICCBR 2016, atlanta, ga, usa, october 31 - november 2, 2016, proceedings (Vol. 9969, pp. 32–46). Springer .
   Google Scholar
• Bichindaritz, I. (2008). Case-based reasoning in the health sciences: Why it matters for the health sciences and for cbr. In K.-D. Althoff, R. Bergmann, M. Minor, & A. Hanft (Eds.), Advances in case-based reasoning: 9th european conference, eccbr 2008, trier, germany, september 1-4, 2008. proceedings (pp. 1–17). Berlin, Heidelberg: Springer. doi:10.1007/978-3-540-85502-6_1
   Google Scholar
• Deyo, R., Mirza, S. K., & Martin, B. I. (2006). Back pain prevalence and visit rates: Estimates from u.s. national surveys, 2002. Spine, 31(23), 2724–2727.
   PubMed Web of Science ®Google Scholar
• Díaz-Agudo, B., Recio-García, J. A., & González-Calero, P. A. (2007). Natural language queries in CBR systems. In 19th IEEE international conference on tools with artificial intelligence (ICTAI 2007), october 29-31, 2007, patras, greece, volume 2 (pp. 468–472). IEEE Computer Society. doi:10.1109/ICTAI.2007.140
   Google Scholar
• Fairbank, J., Couper, J., Davies, J., & O’Brien, J. (1980). The oswestry low back pain disability questionnaire. Psysiotherapy, 66(8), 271–273.
   PubMedGoogle Scholar
• Freburger, J. K., Holmes, G. M., Agans, R. P., Jackman, A. M., Darter, J. D., Wallace, A. S., … Carey, T. S. (2009). The rising prevalence of chronic low back pain. Archives of Internal Medicine, 169(3), 251–258.
   PubMed Web of Science ®Google Scholar
• Gierl, L., Steffen, D., Ihracky, D., & Schmidt, R. (2003). Methods, architecture, evaluation and usability of a case-based antibiotics advisor. Computer Methods and Programs in Biomedicine, 72(2), 139–154. Retrieved from: http://www.sciencedirect.com/science/article/pii/S0169260702001219
   PubMed Web of Science ®Google Scholar
• Hartge, F., Wetter, T., & Haefeli, W. E. (2006). A similarity measure for case based reasoning modeling with temporal abstraction based on cross-correlation. Computer Methods and Programs in Biomedicine, 81(1), 41–48. Retrieved from: http://www.sciencedirect.com/science/article/pii/S0169260705002130
   PubMed Web of Science ®Google Scholar
• Horsburgh, B., Craw, S., Massie, S., & Boswell, R. (2011). Finding the hidden gems: Recommending untagged music. In T. Walsh (Ed.), IJCAI 2011, proceedings of the 22nd international joint conference on artificial intelligence, barcelona, catalonia, spain, july 16-22, 2011 (pp. 2256–2261). IJCAI/AAAI. doi:10.5591/978-1-57735-516-8/IJCAI11-376
   Google Scholar
• Katz, J. N. (2006). Lumbar disc disorders and low-back pain: Socioeconomic factors and consequences. Journal of Bone & Joint Surgery, American Volume, 88, 21–24. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=aph&AN= 20181394&lang=es&site=eds-live
   PubMed Web of Science ®Google Scholar
• Kazemi, A., Remiro, N., Galve, B. M., Gonzalez, M. E., Garcia, A., & Ortiz, Y. (2017). Influence of closed kinetic system on global myofascial improvement and low back pain. In Proceedings of the viii congress of the world federation of athletic training and therapy (p. 75).
   Google Scholar
• Liddle, S., Baxter, G., & Gracey, J. (2004). Exercise and chronic low back pain: What works? Pain, 107(1–2), 176–190.
   PubMed Web of Science ®Google Scholar
• McCormack, H. M., de L. Horne, D. J., & Sheather, S. (1988). Clinical applications of visual analogue scales: A critical review. Psychological Medicine, 18(4), 1007–1019.
   PubMed Web of Science ®Google Scholar
• Montani, S., Bellazzi, R., Portinale, L., d’Annunzio, G., Fiocchi, S., & Stefanelli, M. (2000). Diabetic patients management exploiting case-based reasoning techniques. Computer Methods and Programs in Biomedicine, 62(3), 205–218. Retrieved from: http://www.sciencedirect.com/science/article/pii/S0169260700000687
   PubMed Web of Science ®Google Scholar
• Recio-García, J. A., Díaz-Agudo, B., Gómez-Martín, M. A., & Wiratunga, N. (2005). Extending jcolibri for textual CBR. In H. Muñoz-Avila & F. Ricci(Eds., Case-based reasoning, research and development, 6th international conference, on case-based reasoning, ICCBR 2005, chicago, il, usa, august 23-26, 2005, proceedings (Vol. 3620, pp. 421–435). Springer.
   Google Scholar
• Recio-García, J. A., Díaz-Agudo, B., Jorro-Aragoneses, J. L., & Kazemi, A. (2017). Intelligent control system for back pain therapy. Case-based reasoning research and development - 25th international conference, ICCBR 2017, trondheim, norway, june 26-28, 2017, proceedings (pp. 287–301). doi:10.1007/978-3-319-61030-6_20
   Google Scholar
• Recio-García, J. A., González-Calero, P. A., & Díaz-Agudo, B. (2014). jcolibri2: A framework for building case-based reasoning systems. Science of Computer Programming, 79, 126–145.
   Web of Science ®Google Scholar
• Refshauge, K. M., & Maher, C. G. (2006). Low back pain investigations and prognosis: A review. British Journal of Sports Medicine, 40(6), 494–498. Retrieved from: http://bjsm.bmj.com/content/40/6/494
   PubMed Web of Science ®Google Scholar
• Richter, M. M., & Weber, R. O. (2013). Case-based reasoning - a textbook. Springer. doi:10.1007/978-3-642-40167-1
   Google Scholar
• Sánchez, L. Q., Bridge, D. G., Díaz-Agudo, B., & Recio-García, J. A. (2012). A case-based solution to the cold-start problem in group recommenders. In B. Díaz-Agudo & I. Watson(Eds., Case-based reasoning research and development - 20th international conference, IC- CBR 2012, lyon, france, september 3-6, 2012. proceedings (Vol. 7466, pp. 342–356). Springer.
   Google Scholar
• Sharan, D., Rajkumar, J. S., Mohandoss, M., & Ranganathan, R. (2014, Aug 05). Myofascial low back pain treatment. Current Pain and Headache Reports, 18(9), 449.
   PubMed Web of Science ®Google Scholar
• Simons, D. G., & Travell, J. G. (1983). Myofascial origins of low back pain. Postgraduate Medicine, 73(2), 66–77. . PMID: 6218489
   PubMed Web of Science ®Google Scholar
• Smith, D., Bissell, G., Bruce-Low, S., & Wakefield, C. (2011). The effect of lumbar extension training with and without pelvic stabilization on lumbar strength and low back pain. Journal of Back and Musculoskeletal Rehabilitation, 24(4), 241–249.
   PubMed Web of Science ®Google Scholar
• Stevens, V. K., Parlevliet, T. G., Coorevits, P. L., Mahieu, N. N., Bouche, K. G., Vanderstraeten, G. G., & Danneels, L. A. (2008). The effect of increasing resistance on trunk muscle activity during extension and flexion exercises on training devices. Journal of Electromyography and Kinesiology, 18(3), 434–445. Retrieved from: http://www.sciencedirect.com/science/article/pii/S1050641106001763
   PubMed Web of Science ®Google Scholar
• Tolk, A., & Jain, L. (2011). Intelligent-based systems engineering. Berlin Heidelberg: Springer. Retrieved from: https://books.google.es/books?id=3kzQr2UuRGYC.
   Google Scholar
• Ware, J. E., & Sherbourne, C. D. (1992). The mos 36-item short-form health survey (sf-36). i. conceptual framework and item selection. Medical Care, 30(6), 473–483.
   PubMed Web of Science ®Google Scholar