Serum levels of chemical elements in esophageal squamous cell carcinoma in Anyang, China: a case-control study based on machine learning methods.

Journal: BMJ open
Published Date: Sep 24, 2017

Abstract

OBJECTIVES: Esophageal squamous cell carcinoma (ESCC) is the predominant form of esophageal carcinoma with extremely aggressive nature and low survival rate. The risk factors for ESCC in the high-incidence areas of China remain unclear. We used machine learning methods to investigate whether there was an association between the alterations of serum levels of certain chemical elements and ESCC.

Authors

  • Tong Lin
    The Key Laboratory of Machine Perception (Ministry of Education), School of EECS, Peking University, Beijing, China.
  • Tiebing Liu
    Civil Aviation Medicine Center, Civil Aviation Administration of China, Beijing, China.
  • Yucheng Lin
    The Key Laboratory of Machine Perception (Ministry of Education), School of EECS, Peking University, Beijing, China.
  • Chaoting Zhang
    Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
  • Lailai Yan
    Center of Medical & Health Analysis, School of Public Health, Peking University, Beijing, China.
  • Zhongxue Chen
    Department of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, USA.
  • Zhonghu He
    Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing, China.
  • Jingyu Wang
    Center of Medical & Health Analysis, School of Public Health, Peking University, Beijing, China.

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