331使用机器学习方法测试高级别浆液性晚期卵巢癌细胞减少手术后hdu入院的预测准确性

Organization of gynaecological cancer care Pub Date : 2020-12-01 DOI:10.1136/ijgc-2020-esgo.195

A. Laios, Camilo De lelis Medeiros-De-morais, Y. Tan, G. Saalmink, M. Otify, A. Kaufmann, T. Broadhead, R. Hutson, Kássio Gomes de Lima, G. Theophilou

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《国际妇科癌症杂志》2020;30(增刊4):A1-A142 A111，截止日期2021年5月8日。P由赖特保护。http / ijgc。jjj.com / nt jgynecol C acer:首次发表于2010年4月4日，论文号10.11ijgc-2020-E S G O .95。我们从

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331 Testing prediction accuracy of hdu admission following high grade serous advanced ovarian cancer cytoreductive surgery using machine learning methods

331 Figure 1 Abstracts Int J Gynecol Cancer 2020;30(Suppl 4):A1–A142 A111 on M ay 8, 2021 by gest. P rocted by coright. http/ijgc.bm jcom / nt J G ynecol C acer: frst pulished as 10.11ijgc-2020-E S G O .95 on 4 D ecem er 220. D ow nladed fom

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Organization of gynaecological cancer care

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