A Predictive Model for Medical Events Based on Contextual Embedding of Temporal Sequences

BACKGROUND: Medical concepts are inherently ambiguous and error-prone due to human fallibility, which makes it hard for them to be fully used by classical machine learning methods (eg, for tasks like early stage disease prediction). OBJECTIVE: Our work was to create a new machine-friendly representa...

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Detalles Bibliográficos
Autores principales: Farhan, Wael, Wang, Zhimu, Huang, Yingxiang, Wang, Shuang, Wang, Fei, Jiang, Xiaoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2016
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5148810/
https://www.ncbi.nlm.nih.gov/pubmed/27888170
http://dx.doi.org/10.2196/medinform.5977

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5148810/
https://www.ncbi.nlm.nih.gov/pubmed/27888170
http://dx.doi.org/10.2196/medinform.5977

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