Application of machine learning in the diagnosis of gastric cancer based on noninvasive characteristics.

Zhu, Shuang-Li; Dong, Jie; Zhang, Chenjing; Huang, Yao-Bo; Pan, Wensheng

Zhu, Shuang-Li; Dong, Jie; Zhang, Chenjing; Huang, Yao-Bo; Pan, Wensheng.

Afiliação

Zhu SL; Department of Geriatric VIP NO.1, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang Province, China.
Dong J; Department of Gastroenterology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang Province, China.
Zhang C; Department of Gastroenterology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang Province, China.
Huang YB; Department of Financial Security, Alibaba Group, Hangzhou, Zhejiang Province, China.
Pan W; Department of Gastroenterology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, Zhejiang Province, China.

PLoS One ; 15(12): e0244869, 2020.

Article em En | MEDLINE | ID: mdl-33382829

Assuntos

Biomarcadores Tumorais/sangue; Contagem de Células Sanguíneas; Aprendizado de Máquina; Neoplasias Gástricas/diagnóstico; Idoso; Antígeno Ca-125/sangue; Antígeno CA-19-9/sangue; Feminino; Humanos; Testes de Função Renal; Testes de Função Hepática; Masculino; Pessoa de Meia-Idade; Valor Preditivo dos Testes; Sensibilidade e Especificidade; Neoplasias Gástricas/sangue; Neoplasias Gástricas/patologia

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Contagem de Células Sanguíneas / Biomarcadores Tumorais / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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