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Patient Phenotyping for Atopic Dermatitis With Transformers and Machine Learning: Algorithm Development and Validation Study.

Andrew WangRachel L FultonSy HwangDavid J MargolisDanielle L Mowery
Published in: JMIR formative research (2024)
Creating an automated approach for identifying patient cohorts has the potential to accelerate, standardize, and automate the process of patient recruitment for AD studies; therefore, reducing clinician burden and informing the discovery of better treatment options for AD.
Keyphrases
  • machine learning
  • case report
  • atopic dermatitis
  • high throughput
  • small molecule
  • deep learning
  • artificial intelligence
  • risk factors
  • single cell
  • case control