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...

Descripción completa

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

Internet

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

Ejemplares similares