Can models based on Artificial neural networks help predict the risk of fracture in osteoporotic patients?

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Liječnički vjesnik, Vol. 142 No. Supp 5, 2020.

Meeting abstract

https://doi.org/10.26800/LV-142-supp5-60

Can models based on Artificial neural networks help predict the risk of fracture in osteoporotic patients?

Luka Matanović ; University of Zagreb, School of Medicine, Zagreb, Croatia
Damir Mišura ; Department of Medical Statistics of University of Zagreb, School of Medicine, Zagreb, Croatia
Andrija Štajduhar ; Department of Medical Statistics of University of Zagreb, School of Medicine, Zagreb, Croatia

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APA 6th Edition

Matanović, L., Mišura, D. & Štajduhar, A. (2020). Can models based on Artificial neural networks help predict the risk of fracture in osteoporotic patients?. Liječnički vjesnik, 142 (Supp 5), 0-0. https://doi.org/10.26800/LV-142-supp5-60

MLA 8th Edition

Matanović, Luka, et al. "Can models based on Artificial neural networks help predict the risk of fracture in osteoporotic patients?." Liječnički vjesnik, vol. 142, no. Supp 5, 2020, pp. 0-0. https://doi.org/10.26800/LV-142-supp5-60. Accessed 18 Dec. 2024.

Chicago 17th Edition

Matanović, Luka, Damir Mišura and Andrija Štajduhar. "Can models based on Artificial neural networks help predict the risk of fracture in osteoporotic patients?." Liječnički vjesnik 142, no. Supp 5 (2020): 0-0. https://doi.org/10.26800/LV-142-supp5-60

Harvard

Matanović, L., Mišura, D., and Štajduhar, A. (2020). 'Can models based on Artificial neural networks help predict the risk of fracture in osteoporotic patients?', Liječnički vjesnik, 142(Supp 5), pp. 0-0. https://doi.org/10.26800/LV-142-supp5-60

Vancouver

Matanović L, Mišura D, Štajduhar A. Can models based on Artificial neural networks help predict the risk of fracture in osteoporotic patients?. Liječnički vjesnik [Internet]. 2020 [cited 2024 December 18];142(Supp 5). https://doi.org/10.26800/LV-142-supp5-60

IEEE

L. Matanović, D. Mišura and A. Štajduhar, "Can models based on Artificial neural networks help predict the risk of fracture in osteoporotic patients?", Liječnički vjesnik, vol.142, no. Supp 5, pp. 0-0, 2020. [Online]. https://doi.org/10.26800/LV-142-supp5-60

Abstract

Introduction:
Osteoporosis is a systemic skeletal disorder characterized by low bone mass, leading to bone fragility, and consequent increase in fracture risk. Globally osteoporosis affects more than 200 million people, being the cause of more than 8.9 million fractures annually. Currently the most used diagnostic tool to predict 10-year probability of bone fracture risk is FRAX.

Keywords

artificial neural network, fracture risk, osteoporosis, systematic review

Hrčak ID:

257341

URI

https://hrcak.srce.hr/257341

Publication date:

27.1.2021.

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