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Okimatsu S, Maki S, Furuya T, et al. Determining the short-term neurological prognosis for acute cervical spinal cord injury using machine learning. J Clin Neurosci. 2022;96:74-79doi: 10.1016/j.jocn.2021.11.037.
Okimatsu, S., Maki, S., Furuya, T., Fujiyoshi, T., Kitamura, M., Inada, T., Aramomi, M., Yamauchi, T., Miyamoto, T., Inoue, T., Yunde, A., Miura, M., Shiga, Y., Inage, K., Orita, S., Eguchi, Y., & Ohtori, S. (2022). Determining the short-term neurological prognosis for acute cervical spinal cord injury using machine learning. Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 9674-79. https://doi.org/10.1016/j.jocn.2021.11.037
Okimatsu, Sho, et al. "Determining the short-term neurological prognosis for acute cervical spinal cord injury using machine learning." Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia vol. 96 (2022): 74-79. doi: https://doi.org/10.1016/j.jocn.2021.11.037
Okimatsu S, Maki S, Furuya T, Fujiyoshi T, Kitamura M, Inada T, Aramomi M, Yamauchi T, Miyamoto T, Inoue T, Yunde A, Miura M, Shiga Y, Inage K, Orita S, Eguchi Y, Ohtori S. Determining the short-term neurological prognosis for acute cervical spinal cord injury using machine learning. J Clin Neurosci. 2022 Jan 05;96:74-79. doi: 10.1016/j.jocn.2021.11.037. Epub 2022 Jan 05. PMID: 34998207.
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