Artificial intelligence on the identification of risk groups for osteoporosis, a general review-Reference-Cited by-同舟云学术

Artificial intelligence on the identification of risk groups for osteoporosis, a general review

Published:2018-01-29 Issue:1 Volume:17 Page:
ISSN:1475-925X
Container-title:BioMedical Engineering OnLine
language:en
Short-container-title:BioMed Eng OnLine

Author:

Cruz Agnaldo S.,Lins Hertz C.,Medeiros Ricardo V. A.,Filho José M. F.,da Silva Sandro G.

Funder

Universidade Federal do Rio Grande do Norte

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,Biomedical Engineering,General Medicine,Biomaterials,Radiological and Ultrasound Technology

Link

http://link.springer.com/content/pdf/10.1186/s12938-018-0436-1.pdf

Reference50 articles.

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2. Henderson J, Goltzman D. The osteoporosis primer. New York: Cambridge University Press; 2000. https://doi.org/10.1017/cbo9780511545795 .

3. Zabaglia SFC, Costa-Paiva LH, Pinto-Neto AM. A ligadura tubária é fator de risco para a redução da densidade mineral Ossea em mulheres na pós-menopausa? Rev Bras Ginecol Obstet. 2001;23:621–6. https://doi.org/10.1590/S0100-72032001001000002 .

4. Araújo DV, de Oliveira JH. Custo da fratura osteoporótica de fêmur no sistema suplementar de saúde brasileiro. Arq Bras Endocrinol Metab. 2005;49:897–901. https://doi.org/10.1590/S0004-27302005000600007 .

5. WHO—World Health Organization—Study Group. Assessment of fracture risk and its application to screening for postmenopausal osteoporosis. Geneva: WHO—World Health Organization—Study Group; 1994.

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