Use of Natural Language Processing to Assess Frequency of Functional Status Documentation for Patients Newly Diagnosed With Colorectal Cancer.

Clicks: 407
ID: 117409
2020
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract is not available for this article.
Login to Search Abstract
Reference Key
agaronnik2020usejama Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Agaronnik, Nicole;Lindvall, Charlotta;El-Jawahri, Areej;He, Wei;Iezzoni, Lisa;
Journal jama oncology
Year 2020
DOI
10.1001/jamaoncol.2020.2708
URL
Keywords
emergency department natural language processing electronic health record chief complaint

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.