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Standardizing Extracted Data Using Automated Application of Controlled Vocabularies.

Caroline FosterJessica WignallSamuel KovachNeepa ChoksiDave AllenJoanne TrgovcichJohanna R RochesterPatricia CegerAmber DanielJon HammJim TruaxBevin BlakeBarry McIntyreVicki SutherlandMatthew D StoutNicole C Kleinstreuer
Published in: Environmental health perspectives (2024)
Augmenting manual efforts with automation tools increased the efficiency of producing a findable, accessible, interoperable, and reusable (FAIR) dataset of regulatory guideline studies. This open-source approach can be readily applied to other legacy developmental toxicology datasets, and the code design is customizable for other study types. https://doi.org/10.1289/EHP13215.
Keyphrases
  • machine learning
  • deep learning
  • electronic health record
  • high throughput
  • transcription factor
  • big data
  • quality improvement
  • data analysis
  • artificial intelligence