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Data mining-based model and risk prediction of colorectal cancer by using secondary health data: A systematic review.
Liang, Hailun; Yang, Lei; Tao, Lei; Shi, Leiyu; Yang, Wuyang; Bai, Jiawei; Zheng, Da; Wang, Ning; Ji, Jiafu.
Afiliação
  • Liang H; School of Public Administration and Policy, Renmin University of China, Beijing 100872, China.
  • Yang L; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • Tao L; Department of Public Policy, City University of Hong Kong, Hong Kong SAR, 999077, China.
  • Shi L; Johns Hopkins Primary Care Policy Center, Baltimore, MD 21205, USA.
  • Yang W; Department of Neurosurgery, Johns Hopkins Medicine, Baltimore, MD 21205, USA.
  • Bai J; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
  • Zheng D; Department of Computer Science, Johns Hopkins Whiting School of Engineering, Baltimore, MD 21205, USA.
  • Wang N; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Beijing Office for Cancer Prevention and Control, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • Ji J; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Center of Gastrointestinal Surgery, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Chin J Cancer Res ; 32(2): 242-251, 2020 Apr.
Article em En | MEDLINE | ID: mdl-32410801
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Systematic_reviews Idioma: En Ano de publicação: 2020 Tipo de documento: Article