"Real-world Patient Trajectory Prediction from Clinical Notes Using ..."

Jamil Zaghir et al. (2021)

> Home

Details and statistics

DOI: 10.1007/S41666-021-00100-Z

access: closed

type: Journal Article

metadata version: 2022-04-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jhir/ZaghirRGA21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jhir/ZaghirRGA21
Jamil Zaghir, José F. Rodrigues Jr., Lorraine Goeuriot, Sihem Amer-Yahia:
Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts. J. Heal. Informatics Res. 5(4): 474-496 (2021)

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.