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Sažetak sa skupa

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


Puni tekst: engleski pdf 181 Kb

preuzimanja: 160

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Sažetak

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.

Ključne riječi

artificial neural network, fracture risk, osteoporosis, systematic review

Hrčak ID:

257341

URI

https://hrcak.srce.hr/257341

Datum izdavanja:

27.1.2021.

Posjeta: 469 *