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Leveraging error-prone algorithm-derived phenotypes: Enhancing association studies for risk factors in EHR data.

Yiwen LuJiayi TongJessica ChubakThomas LumleyRebecca A HubbardHua XuYong Chen
Published in: Journal of biomedical informatics (2024)
Our method combines information across multiple surrogates using a statistically efficient seemingly unrelated regression framework. Our method provides a robust alternative to single-surrogate-based bias correction, especially in contexts lacking information on which surrogate is superior.
Keyphrases
  • risk factors
  • electronic health record
  • health information
  • machine learning
  • deep learning
  • big data
  • healthcare
  • social media
  • artificial intelligence
  • data analysis