Abstract
The paper is devoted of the assessment with intelligent instrument the very often happened Proximal humerus fractures. For our research 42 patients divided into two groups are analysed: Group 1 with 19 patients, operated via angular-stable locking plate and polymethylmetacrylate augmentation, and Group 2 with 23 patients, where iliac crest bone graft has been used. The analyzed data have been collected in the period 2017–2019 in Department of orthopedics and traumatology in University hospital for active treatment in Burgas.
A method for evaluation the degree of recovery of the patients with Proximal humerus fractures have been proposed. The assessment of the patient’ recovery is formed on the basis of a set of intuitionistic fuzzy estimations \(\left\langle {\mu ,\nu } \right\rangle\) of real numbers from the set [0, 1] × [0, 1]. These intuitionistic fuzzy estimations reflect the degree of successful recovery μ, or non-successful recovery ν, for each patient. The degree of uncertainty π = 1 − μ − ν represents such cases wherein the treatment is not finished or we cannot provide information on the patient.
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Acknowledgements
The authors are grateful for the support provided by the Bulgarian Ministry of Education and Science under the National Research Programme “Information and Communication Technologies for a Digital Single Market in Science, Education and Security” approved by DCM # 577 / 17.08.2018”.
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Hristov, S., Baltov, A., Sotirova, E., Bozov, H. (2022). Intuitionistic Fuzzy Evaluations for Analysis of the Proximal Humerus Fractures. In: Sotirov, S.S., Pencheva, T., Kacprzyk, J., Atanassov, K.T., Sotirova, E., Staneva, G. (eds) Contemporary Methods in Bioinformatics and Biomedicine and Their Applications. BioInfoMed 2020. Lecture Notes in Networks and Systems, vol 374. Springer, Cham. https://doi.org/10.1007/978-3-030-96638-6_30
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DOI: https://doi.org/10.1007/978-3-030-96638-6_30
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