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A life-threatening bleeding prediction model for immune thrombocytopenia based on personalized machine learning: a nationwide prospective cohort study.
An ZY, Wu YJ, Hou Y, Mei H, Nong WX, Li WQ, Zhou H, Feng R, Shen JP, Peng J, Zhou H, Liu Y, Song YP, Yang LH, Fang MY, Li JY, Cheng YF, Liu P, Xu YJ, Wang Z, Luo Y, Cai Z, Liu H, Wang JW, Li J, Zhang X, Sun ZM, Zhu XY, Wang X, Fu R, Huang L, Wang SY, Yang TH, Su LP, Ma LM, Chen XQ, Liu DH, Yao HX, Feng J, Zhang HY, Jiang M, Zhou ZP, Wang WS, Shen XL, Baima Y, Li YY, Wang QF, Huang QS, Fu HX, Zhu XL, He Y, Jiang Q, Jiang H, Lu J, Zhao XY, Chang YJ, Wu T, Pan YZ, Qiu L, Gao D, Jin AR, Li W, Gao SJ, Zhang L, Hou M, Huang XJ, Zhang XH; National Cooperative ITP Working Group. An ZY, et al. Among authors: zhou h, zhou zp. Sci Bull (Beijing). 2023 Sep 30;68(18):2106-2114. doi: 10.1016/j.scib.2023.08.001. Epub 2023 Aug 3. Sci Bull (Beijing). 2023. PMID: 37599175 Free article.
998 results