Login / Signup

Transfer learning for non-image data in clinical research: A scoping review.

Andreas Ladefoged EbbehøjMette Østergaard ThunboOle Emil AndersenMichala Vilstrup GlindtvadAdam Hulman
Published in: PLOS digital health (2022)
In this scoping review, we have described current trends in the use of transfer learning for non-image data in the clinical literature. We found that the use of transfer learning has grown rapidly within the last few years. We have identified studies and demonstrated the potential of transfer learning in clinical research in a wide range of medical specialties. More interdisciplinary collaborations and the wider adaption of reproducible research principles are needed to increase the impact of transfer learning in clinical research.
Keyphrases
  • deep learning
  • electronic health record
  • healthcare
  • big data
  • machine learning
  • artificial intelligence