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Zhengjie Ou

Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

United States

SCHOLARLY PAPERS

1

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Scholarly Papers (1)

1.

Prediction of Postoperative Pathologic Risk Factors in Cervical Cancer Patients Treated with Radical Hysterectomy by Machine Learning

Number of pages: 19 Posted: 30 Oct 2020
Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Digital Health China Technologies Co., Ltd., Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - Department of Gynecology Oncology, Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Chinese Academy of Medical Sciences & Peking Union Medical College (CAMS & PUMC) - State Key Laboratory of Molecular Oncology, Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College and Department of Gynecology Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
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Abstract:

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Cervical cancer, Machine learning methods, deep stromal infiltration, lymph node metastasis, lymph-vascular space invasion, blood biomarker