A Machine Learning Approach Using XGBoost Predicts Lung Metastasis in Patients with Ovarian Cancer.

Yuan, Yufei; Wang, Ruoran; Luo, Mingyue; Zhang, Yidan; Guo, Fanfan; Bai, Guiqin; Yang, Yang

Yuan, Yufei; Wang, Ruoran; Luo, Mingyue; Zhang, Yidan; Guo, Fanfan; Bai, Guiqin; Yang, Yang.

Afiliação

Yuan Y; Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, Shaanxi, China.
Wang R; Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Luo M; Northwest Women and Children's Hospital, Shaanxi, China.
Zhang Y; Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, Shaanxi, China.
Guo F; The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Bai G; The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, China.
Yang Y; Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, Shaanxi, China.
JingZhao; Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, Shaanxi, China.

Biomed Res Int ; 2022: 8501819, 2022.

Article em En | MEDLINE | ID: mdl-36277898

Assuntos

Neoplasias Pulmonares; Neoplasias Ovarianas; Humanos; Feminino; Estudos Retrospectivos; Aprendizado de Máquina; Curva ROC; Carcinoma Epitelial do Ovário

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Neoplasias Pulmonares Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Revista: Biomed Res Int Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

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