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

BACKGROUND: 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 analysis, its use for clini...

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Detalles Bibliográficos
Autores principales: Ebbehoj, Andreas, Thunbo, Mette Østergaard, Andersen, Ole Emil, Glindtvad, Michala Vilstrup, Hulman, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931256/
https://www.ncbi.nlm.nih.gov/pubmed/36812540
http://dx.doi.org/10.1371/journal.pdig.0000014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931256/
https://www.ncbi.nlm.nih.gov/pubmed/36812540
http://dx.doi.org/10.1371/journal.pdig.0000014

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