Application of Machine Learning in the Prediction of Hypothyreoidism
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49068-2_77
Reference16 articles.
1. Chaker, L., Bianco, A.C., Jonklaas, J., Peeters, R.P.: Hypothyroidism. Lancet (London, England) 390(10101), 1550–1562 (2017). https://doi.org/10.1016/S0140-6736(17)30703-1
2. Rabbani, E., et al.: Randomized study of the effects of zinc, vitamin A, and magnesium Co-supplementation on thyroid function, oxidative stress, and hs-CRP in patients with hypothyroidism. Biol. Trace Elem. Res. 199(11), 4074–4083 (2021). https://doi.org/10.1007/s12011-020-02548-3
3. Kim, J., Gosnell, J.E., Roman, S.A.: Geographic influences in the global rise of thyroid cancer. Nat. Rev. Endocrinol. 16(1), 17–29 (2020). https://doi.org/10.1038/s41574-019-0263-x
4. López-Macías, I., Hidalgo-Requena, A., Pérez-Membrive, E., González-Rodríguez, M.E., Bellido-Moyano, C., Pérula-de Torres, L.A.: Hipotiroidismo adulto en una zona básica de salud [Hypothyroidism in adults in a basic health area]. Semergen 44(3), 174–179. (2018). https://doi.org/10.1016/j.semerg.2017.06.003
5. Moon, J.H., Steinhubl, S.R.: Digital medicine in thyroidology: a new era of managing thyroid disease. Endocrinol. Metabolism (Seoul, Korea) 34(2), 124–131 (2019). https://doi.org/10.3803/EnM.2019.34.2.124
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