Risk Assessment of Bone Metastasis for Cervical Cancer Patients by Multiple Models: A Large Population Based Real-World Study.

Han, Yun; Wang, Bo; Zhang, Jinjin; Zhou, Su; Dai, Jun; Wu, Meng; Li, Yan; Wang, Shixuan

Han, Yun; Wang, Bo; Zhang, Jinjin; Zhou, Su; Dai, Jun; Wu, Meng; Li, Yan; Wang, Shixuan.

Afiliação

Han Y; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China.
Wang B; Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, China.
Zhang J; Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Zhou S; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China.
Dai J; Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, China.
Wu M; Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Li Y; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China.
Wang S; Key Laboratory of Cancer Invasion and Metastasis, Ministry of Education, Wuhan, China.

Front Med (Lausanne) ; 8: 725298, 2021.

Article em En | MEDLINE | ID: mdl-34676225

Palavras-chave

SEER; bone metastasis; cervical cancer; machine learning algorithm; predictive model

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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