Abstract
Of the many postural disorders commonly found in the population, scoliosis is the most complex and the most difficult to diagnose and treat. Adolescent idiopathic scoliosis affects 2% to 4% of adolescent population. Although most of those patients will not develop clinical symptoms, scoliosis can progress to rib deformity and respiratory compromise, and can cause significant cosmetic problems and emotional distress for some patients. Accordingly, early detection is the key factor to prevent the curve magnitude progress, as well as to ensure an appropriate and successful treatment. Proper diagnosis is extremely important for designing a coordinated exercise programs and reliable monitoring progress during treatment. The purpose of the present study is to present a successful example of Generalized Nets application in orthopedics and to propose a novel approach to timely detection of adolescent idiopathic scoliosis and its categorization.
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Acknowledgment
Work presented here is partially supported by the “Program to support young scientists at BAS”, Grant number DFNP-142/2016.
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Ribagin, S., Atanassov, K.T., Roeva, O., Pencheva, T. (2018). Generalized Net Model of Adolescent Idiopathic Scoliosis Diagnosing. In: Atanassov, K., et al. Uncertainty and Imprecision in Decision Making and Decision Support: Cross-Fertilization, New Models and Applications. IWIFSGN 2016. Advances in Intelligent Systems and Computing, vol 559. Springer, Cham. https://doi.org/10.1007/978-3-319-65545-1_31
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