Application of machine learning algorithms to predict osteoporosis in postmenopausal women with type 2 diabetes mellitus
Author:
Funder
Hebei Province Medical Science Research Key Project
Publisher
Springer Science and Business Media LLC
Subject
Endocrinology,Endocrinology, Diabetes and Metabolism
Link
https://link.springer.com/content/pdf/10.1007/s40618-023-02109-0.pdf
Reference39 articles.
1. Valderrabano RJ, Linares MI (2018) Diabetes mellitus and bone health: epidemiology, etiology and implications for fracture risk stratification. Clin Diabetes Endocrinol 4(9):1. https://doi.org/10.1186/s40842-018-0060-9
2. Hofbauer LC, Busse B, Eastell R, Ferrari S, Frost M, Muller R, Burden AM, Rivadeneira F, Napoli N, Rauner M (2022) Bone fragility in diabetes: novel concepts and clinical implications. Lancet Diabetes Endocrinol 10(3):207–220. https://doi.org/10.1016/S2213-8587(21)00347-8
3. Greenhill C (2018) Shared variants for osteoporosis and T2DM. Nat Rev Endocrinol 14(11):627. https://doi.org/10.1038/s41574-018-0095-0
4. Camacho PM, Petak SM, Binkley N, Diab DL, Eldeiry LS, Farooki A, Harris ST, Hurley DL, Kelly J, Lewiecki EM, Pessah-Pollack R, McClung M, Wimalawansa SJ, Watts NB (2020) American Association of Clinical Endocrinologists/American College of endocrinology clinical practice guidelines for the diagnosis and treatment of postmenopausal osteoporosis-2020 update. Endocr Pract 26(Suppl 1):1–46. https://doi.org/10.4158/GL-2020-0524SUPPL
5. Choksi P, Jepsen KJ, Clines GA (2018) The challenges of diagnosing osteoporosis and the limitations of currently available tools. Clin Diabetes Endocrinol 4(12):1. https://doi.org/10.1186/s40842-018-0062-7
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