Abstract
Pain is the most common symptom of the many musculoskeletal pathologies. Musculoskeletal pain affects the muscles, ligaments, tendons, nerves and bones and might be caused by diverse factors. Musculoskeletal pain ranges from mild to severe. It can be local or diffuse, and acute or chronic. Due to the wide range of conditions that may cause such a symptom, diagnosing process is challenging and a systematic approach is necessary. In this investigation we present a successful example of generalized nets application in medical diagnosing and propose a novel approach leading to the appropriate diagnostic considerations. The method proposed in this investigation accurately identifies the various steps during the muscle pain diagnosing process and significantly improves the health care level. Obtained so far results could be used to assist in the decision making in the diagnostic processes.
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Acknowledgements
Work presented here is partially supported by the Grants: DFNP-142/2016 “Program for career development of young scientists, BAS” and DN02/10 “New Instruments for Knowledge Discovery from Data, and Their Modelling”
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Ribagin, S., Chountas, P., Pencheva, T. (2017). Generalized Net Model of Muscle Pain Diagnosing. In: Christiansen, H., Jaudoin, H., Chountas, P., Andreasen, T., Legind Larsen, H. (eds) Flexible Query Answering Systems. FQAS 2017. Lecture Notes in Computer Science(), vol 10333. Springer, Cham. https://doi.org/10.1007/978-3-319-59692-1_24
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DOI: https://doi.org/10.1007/978-3-319-59692-1_24
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