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Volume 11 Issue 5
Sep.  2020
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Article Navigation >  Medical Journal of Peking Union Medical College Hospital  > 2020  >  11(5): 542-546
Hui-zhen JIANG, Lian MA, Wei-guo ZHU. Medical Big Data 'Deception' and Strategies[J]. Medical Journal of Peking Union Medical College Hospital, 2020, 11(5): 542-546. doi: 10.3969/j.issn.1674-9081.2020.05.009
Citation: Hui-zhen JIANG, Lian MA, Wei-guo ZHU. Medical Big Data "Deception" and Strategies[J]. Medical Journal of Peking Union Medical College Hospital, 2020, 11(5): 542-546. doi: 10.3969/j.issn.1674-9081.2020.05.009
shu

Medical Big Data "Deception" and Strategies

doi: 10.3969/j.issn.1674-9081.2020.05.009
  • 1.

    Department of Information Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

  • 2.

    Department of Primary Care and Family Medicine(General Internal Medicine), Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China

More Information
  • Corresponding author: ZHU Wei-guo  Tel: 86-10-69154149, E-mail: zhuwg@pumch.cn
  • Received Date: 2019-07-15
  • Publish Date: 2020-09-30
    Abstract
  • At present, research and application of medical big data are more and more extensive. But inevitably, medical big data is of some deception, and in many scenarios, it can result in wrong conclusions and influence. In this paper, firstly we analyze the causes of medical big data deception from the data deception per se and pitfalls of machine learning. Then, we introduce how to avoid data pitfalls in statistics and analyze the strategies to tackle attacks on models. The importance and methods achieving model interpretability in the medical area are also mentioned.
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