AI-driven infectious Disease surveillance: Leveraging Bidirectional Encoder Representations from Transformers  and Early-warning Response with Neural Information Encoding

Lilian L. Peters

AI-driven infectious Disease surveillance: Leveraging Bidirectional Encoder Representations from Transformers and Early-warning Response with Neural Information Encoding

Research output: Contribution to conference › Paper › Academic

Original language	English
Publication status	Published - 28-Mar-2024
Event	UMCG Cohort Symposium - UMCG, Groningen Duration: 28-Mar-2024 → 28-Mar-2024 https://onderwijs.umcg.nl/-/umcg-cohort-symposium-2024

Conference

Conference	UMCG Cohort Symposium
City	Groningen
Period	28/03/2024 → 28/03/2024
Internet address	https://onderwijs.umcg.nl/-/umcg-cohort-symposium-2024

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Cite this

@conference{75252104f7ad4ac291ed332d28a5c36b,

title = "AI-driven infectious Disease surveillance: Leveraging Bidirectional Encoder Representations from Transformers and Early-warning Response with Neural Information Encoding",

author = "Peters, {Lilian L.}",

year = "2024",

month = mar,

day = "28",

language = "English",

note = "UMCG Cohort Symposium ; Conference date: 28-03-2024 Through 28-03-2024",

url = "https://onderwijs.umcg.nl/-/umcg-cohort-symposium-2024",

}