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

Ou, Zhengjie; Mao, Wei; Tan, Lihua; Yang, Yanli; Liu, Shuanghuan; Zhang, Yanan; Li, Bin; Zhao, Dan

Ou, Zhengjie; Mao, Wei; Tan, Lihua; Yang, Yanli; Liu, Shuanghuan; Zhang, Yanan; Li, Bin; Zhao, Dan.

Afiliação

Ou Z; Department of Gynecology Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China.
Mao W; Department of Gynecology Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China.
Tan L; Department of Gynecology Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China.
Yang Y; Department of Gynecology Oncology, The Fifth People's Hospital of Qinghai Province, Xining 810007, China.
Liu S; Department of Gynecology Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China.
Zhang Y; Department of Gynecology Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China.
Li B; Department of Gynecology Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China.
Zhao D; Department of Gynecology Oncology, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100021, China.

Curr Oncol ; 29(12): 9613-9629, 2022 12 06.

Article em En | MEDLINE | ID: mdl-36547169

Assuntos

Neoplasias do Colo do Útero; Feminino; Humanos; Algoritmos; Teorema de Bayes; Histerectomia; Aprendizado de Máquina; Neoplasias do Colo do Útero/cirurgia; Neoplasias do Colo do Útero/patologia

Palavras-chave

blood biomarker; cervical cancer; deep stromal infiltration; lymph node metastasis; lymph-vascular space invasion; machine learning methods

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Temas: Geral / Saude_da_mulher / Colo_do_utero / Tipos_de_cancer / Colo_do_utero / Outros_tipos Base de dados: MEDLINE Assunto principal: Neoplasias do Colo do Útero Tipo de estudo: Clinical_trials / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Curr Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google