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Science Bulletin
Article . 2024 . Peer-reviewed
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Large language models for diabetes care: Potentials and prospects

descriptionPublicationkeyboard_double_arrow_right Article 01 Mar 2024 English Publisher:Elsevier BVJournal:Science Bulletin, volume 69, pages 583-588 (issn: 2095-9273, Copyright policy )
Authors: Sheng, Bin; Guan, Zhouyu; Lim, Lee-Ling; Jiang, Zehua; Mathioudakis, Nestoras; Li, Jiajia; Liu, Ruhan; +13 Authors

doi: 10.1016/j.scib.2024.01.004

pmid: 38220476

Large language models for diabetes care: Potentials and prospects

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Keywords

Diabetes Mellitus, Type 2, Type 2/therapy, Diabetes Mellitus, Humans, Language

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 37
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
37
Top 10%
Top 10%
Top 1%
Green
hybrid