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Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study.

Nansu ZongVictoria NgoDaniel J StoneXiaoqian JiangYiqing ZhaoYue YuSijia LiuMing HuangChen WangGouqian Jiang
Published in: JMIR medical informatics (2021)
Accurate prediction of cancer types can be achieved with existing electronic health record data with satisfactory precision. The integration of genetic reports improves prediction, illustrating the translational values of incorporating genetic tests early at the diagnosis stage for patients with cancer.
Keyphrases
  • electronic health record
  • adverse drug
  • clinical decision support
  • genome wide
  • copy number
  • machine learning
  • papillary thyroid
  • high resolution
  • young adults
  • childhood cancer
  • lymph node metastasis
  • data analysis