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Prediction of osteoporotic hip fracture in postmenopausal women through patient-specific FE analyses and machine learning

  • Published:2020-09 Issue: Volume:193 Page:105484
  • ISSN:0169-2607
  • Container-title:Computer Methods and Programs in Biomedicine
  • language:en
  • Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Villamor E.,Monserrat C.,Del Río L.,Romero-Martín J.A.,Rupérez M.J.

Funder

Universitat Politècnica de València

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference56 articles.

1. Changes in population demographics and the future incidence of hip fracture;Holt;Injury,2009

2. Osteoporosis in the European Union: medical management, epidemiology and economic burden;Svedbom;Arch. Osteoporos.,2013

3. Hip fractures in the elderly: a world-wide projection;Cooper;Osteoporos. Int.,1992

4. The socioeconomic burden of fractures: today and in the 21st century;Johnell;Am. J. Med.,1997

5. Population-based study of survival after osteoporotic fractures;Cooper;American journal of epidemiology,1993

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4. Machine Learning in Biomaterials, Biomechanics/Mechanobiology, and Biofabrication: State of the Art and Perspective;Archives of Computational Methods in Engineering;2024-05-04

5. A Systematic Review on Osteoporosis Prediction in Postmenopausal Women;2024 1st International Conference on Trends in Engineering Systems and Technologies (ICTEST);2024-04-11
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