An intentional approach to managing bias in general purpose embedding models.

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第一作者： Wei-Hung,Weng

第一单位： Google, Mountain View, CA, USA.

作者： Wei-Hung,Weng ^[1] ; Andrew,Sellergen ^[1] ; Atilla P,Kiraly ^[1] ; Alexander,D'Amour ^[1] ; Jungyeon,Park ^[1] ; Rory,Pilgrim ^[1] ; Stephen,Pfohl ^[1] ; Charles,Lau ^[2] ; Vivek,Natarajan ^[1] ; Shekoofeh,Azizi ^[1] ; Alan,Karthikesalingam ^[1] ; Heather,Cole-Lewis ^[1] ; Yossi,Matias ^[1] ; Greg S,Corrado ^[1] ; Dale R,Webster ^[1] ; Shravya,Shetty ^[1] ; Shruthi,Prabhakara ^[1] ; Krish,Eswaran ^[1] ; Leo A G,Celi ^[3] ; Yun,Liu ^[4]

作者单位： Google, Mountain View, CA, USA. ^[1] Vituity, Emeryville, CA, USA. ^[2] Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA. ^[3] Google, Mountain View, CA, USA. Electronic address: liuyun@google.com. ^[4]

主题词人类(Humans);卫生保健提供(Delivery of Health Care);算法(Algorithms)

DOI 10.1016/S2589-7500(23)00227-3

PMID 38278614

发布时间 2024-10-31

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The Lancet. Digital health

2024年6卷2期

e126-e130页

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An intentional approach to managing bias in general purpose embedding models.

The Lancet. Digital health

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An intentional approach to managing bias in general purpose embedding models.

The Lancet. Digital health

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The Lancet. Digital health

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