Using recurrent neural network models for early detection of heart failure onset

Objective: We explored whether use of deep learning to model temporal relations among events in electronic health records (EHRs) would improve model performance in predicting initial diagnosis of heart failure (HF) compared to conventional methods that ignore temporality. Materials and Methods: Data...

Descripción completa

Detalles Bibliográficos
Autores principales: Choi, Edward, Schuetz, Andy, Stewart, Walter F, Sun, Jimeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5391725/
https://www.ncbi.nlm.nih.gov/pubmed/27521897
http://dx.doi.org/10.1093/jamia/ocw112

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5391725/
https://www.ncbi.nlm.nih.gov/pubmed/27521897
http://dx.doi.org/10.1093/jamia/ocw112

Ejemplares similares