Combining patient visual timelines with deep learning to predict mortality

BACKGROUND: Deep learning algorithms have achieved human-equivalent performance in image recognition. However, the majority of clinical data within electronic health records is inherently in a non-image format. Therefore, creating visual representations of clinical data could facilitate using cuttin...

Descripción completa

Detalles Bibliográficos
Autores principales: Mayampurath, Anoop, Sanchez-Pinto, L. Nelson, Carey, Kyle A., Venable, Laura-Ruth, Churpek, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668841/
https://www.ncbi.nlm.nih.gov/pubmed/31365580
http://dx.doi.org/10.1371/journal.pone.0220640

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668841/
https://www.ncbi.nlm.nih.gov/pubmed/31365580
http://dx.doi.org/10.1371/journal.pone.0220640

Ejemplares similares