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Meta-learning in Healthcare: A Survey

Publication ,  Journal Article
Rafiei, A; Moore, R; Jahromi, S; Hajati, F; Kamaleswaran, R
Published in: SN Computer Science
August 1, 2024

As a subset of machine learning, meta-learning, or learning to learn, aims at improving the model’s capabilities by employing prior knowledge and experience. A meta-learning paradigm can appropriately tackle the conventional challenges of traditional learning approaches, such as insufficient number of samples, domain shifts, and generalization. These unique characteristics position meta-learning as a suitable choice for developing influential solutions in various healthcare contexts, where the available data is often insufficient, and the data collection methodologies are different. This survey discusses meta-learning broad applications in the healthcare domain to provide insight into how and where it can address critical healthcare challenges. We first describe the theoretical foundations and pivotal methods of meta-learning. We then divide the employed meta-learning approaches in the healthcare domain into two main categories of multi/single-task learning and many/few-shot learning and survey the studies. Finally, we highlight the current challenges in meta-learning research, discuss the potential solutions, and provide future perspectives on meta-learning in healthcare.

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Published In

SN Computer Science

DOI

EISSN

2661-8907

ISSN

2662-995X

Publication Date

August 1, 2024

Volume

5

Issue

6

Related Subject Headings

  • 46 Information and computing sciences
 

Citation

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Rafiei, A., Moore, R., Jahromi, S., Hajati, F., & Kamaleswaran, R. (2024). Meta-learning in Healthcare: A Survey. SN Computer Science, 5(6). https://doi.org/10.1007/s42979-024-03166-9
Rafiei, A., R. Moore, S. Jahromi, F. Hajati, and R. Kamaleswaran. “Meta-learning in Healthcare: A Survey.” SN Computer Science 5, no. 6 (August 1, 2024). https://doi.org/10.1007/s42979-024-03166-9.
Rafiei A, Moore R, Jahromi S, Hajati F, Kamaleswaran R. Meta-learning in Healthcare: A Survey. SN Computer Science. 2024 Aug 1;5(6).
Rafiei, A., et al. “Meta-learning in Healthcare: A Survey.” SN Computer Science, vol. 5, no. 6, Aug. 2024. Scopus, doi:10.1007/s42979-024-03166-9.
Rafiei A, Moore R, Jahromi S, Hajati F, Kamaleswaran R. Meta-learning in Healthcare: A Survey. SN Computer Science. 2024 Aug 1;5(6).

Published In

SN Computer Science

DOI

EISSN

2661-8907

ISSN

2662-995X

Publication Date

August 1, 2024

Volume

5

Issue

6

Related Subject Headings

  • 46 Information and computing sciences