"Evaluating Deterioration Prediction, Usability, and Impact of a Clinical ..."

Fuchiang (Rich) Tsui et al. (2022)

> Home

Details and statistics

DOI: —

access: closed

type: Conference or Workshop Paper

metadata version: 2024-04-17

- view
  - electronic edition @ amia.org (archived)
- export record
  dblp key:
  - conf/amia/TsuiRGSSG22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/amia/TsuiRGSSG22
Fuchiang (Rich) Tsui, Victor Ruiz, Sachin Grover, Lingyun Shi, Allan F. Simpao, Michael Goldstein:
Evaluating Deterioration Prediction, Usability, and Impact of a Clinical Artificial Intelligence System: Real-time Intensive Care Warning INdex System (I-WIN) Using EHR and Bedside Monitor Data. AMIA 2022

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.