An Adaptive Transfer-Learning-Based Deep Cox Neural Network for Hepatocellular Carcinoma Prognosis Prediction.

Chai, Hua; Xia, Long; Zhang, Lei; Yang, Jiarui; Zhang, Zhongyue; Qian, Xiangjun; Yang, Yuedong; Pan, Weidong

Chai, Hua; Xia, Long; Zhang, Lei; Yang, Jiarui; Zhang, Zhongyue; Qian, Xiangjun; Yang, Yuedong; Pan, Weidong.

Afiliación

Chai H; School of Mathematics and Big Data, Foshan University, Foshan, China.
Xia L; Department of Pancreatic-Hepato-Biliary-Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zhang L; Department of Hepatobiliary-Pancreatic-Splenic Surgery, Inner Mongolia Autonomous Region People's Hospital, Hohhot, China.
Yang J; Department of Pancreatic-Hepato-Biliary-Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Zhang Z; Department of Pancreatic-Hepato-Biliary-Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Qian X; School of Computer Science, Sun Yat-sen University, Guangzhou, China.
Yang Y; Department of Pancreatic-Hepato-Biliary-Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Pan W; School of Computer Science, Sun Yat-sen University, Guangzhou, China.

Front Oncol ; 11: 692774, 2021.

Article en En | MEDLINE | ID: mdl-34646759

Palabras clave

bioinformatics; deep learning; hepatocellular carcinoma; prognostic markers; survival analysis

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Año: 2021 Tipo del documento: Article País de afiliación: China

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