Screening osteoporosis in elderly using a new two inertial projective forward-backward splitting algorithm
Authors
Ch. Mekkrua
- Demonstration School, University of Phayao, Phayao 56000, Thailand.
P. Peeyada
- Department of Mathematics, School of Science, University of Phayao, Phayao 56000, Thailand.
W. Cholamjiak
- Department of Mathematics, School of Science, University of Phayao, Phayao 56000, Thailand.
W. Liawrungrueang
- Department of Orthopaedics, School of Medicine, University of Phayao, Phayao 56000, Thailand.
Abstract
In this work, we propose a new two inertial projective forward-backward splitting algorithm for approximating the solution of the variational inclusion problem in real Hilbert spaces. We prove weak convergence of the sequence generated by our proposed iterative algorithm. Moreover, we also provide an application to predict osteoporosis in the elderly using a dataset from the Harvard Dataverse. The comparison of algorithm performance is calculated using accuracy, precision, recall, and F1-score. Our algorithm's performance is higher than other comparable algorithms. As a result, our algorithm is an effective classification technique for identifying osteoporosis.
Share and Cite
ISRP Style
Ch. Mekkrua, P. Peeyada, W. Cholamjiak, W. Liawrungrueang, Screening osteoporosis in elderly using a new two inertial projective forward-backward splitting algorithm, Journal of Mathematics and Computer Science, 37 (2025), no. 2, 190--200
AMA Style
Mekkrua Ch., Peeyada P., Cholamjiak W., Liawrungrueang W., Screening osteoporosis in elderly using a new two inertial projective forward-backward splitting algorithm. J Math Comput SCI-JM. (2025); 37(2):190--200
Chicago/Turabian Style
Mekkrua, Ch., Peeyada, P., Cholamjiak, W., Liawrungrueang, W.. "Screening osteoporosis in elderly using a new two inertial projective forward-backward splitting algorithm." Journal of Mathematics and Computer Science, 37, no. 2 (2025): 190--200
Keywords
- Variational inclusion problem
- osteoporosis
- elderly
- inertial method
- data classification
MSC
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