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Applying Artificial Intelligence Methods for the Estimation of Disease Incidence: The Utility of Language Models

Background: AI-driven digital health tools often rely on estimates of disease incidence or prevalence, but obtaining these estimates is costly and time-consuming. We explored the use of machine learning models that leverage contextual information about diseases from unstructured text, to estimate di...

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Detalles Bibliográficos
Autores principales:	Zhang, Yuanzhao, Walecki, Robert, Winter, Joanne R., Bragman, Felix J. S., Lourenco, Sara, Hart, Christopher, Baker, Adam, Perov, Yura, Johri, Saurabh
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Digital Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521977/ https://www.ncbi.nlm.nih.gov/pubmed/34713043 http://dx.doi.org/10.3389/fdgth.2020.569261

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