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

<h4>Background</h4> Transfer learning is a form of machine learning where a pre-trained model trained on a specific task is reused as a starting point and tailored to another task in a different dataset. While transfer learning has garnered considerable attention in medical image analysi...

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Bibliographic Details
Main Authors: Andreas Ebbehoj, Mette Østergaard Thunbo, Ole Emil Andersen, Michala Vilstrup Glindtvad, Adam Hulman
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-02-01
Series:PLOS Digital Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931256/?tool=EBI