![](https://dblp1.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp1.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp1.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp1.uni-trier.de/img/search.dark.16x16.png)
default search action
"Identifying documented medical non-adherence from clinical notes using ..."
Joy T. Wu et al. (2019)
- Joy T. Wu, David W. Grant, Shrey Lakhotia, Patrick D. Tyler, Daniel F. Gruhl, Chaitanya Shivade, Sebastian Gehrmann, Leo A. Celi:
Identifying documented medical non-adherence from clinical notes using natural language processing. AMIA 2019
![](https://dblp1.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.