"Prospective Evaluation of the Real-world Performance of a Machine Learning ..."

Sujay S. Kakarmath et al. (2018)

> 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/KakarmathGFSATN18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/amia/KakarmathGFSATN18
Sujay S. Kakarmath, Sara Bersche Golas, Jennifer Felsted, Takuma Shibahara, Hideo Aoki, Mika Takata, Ken Naono, Joseph C. Kvedar, Kamal Jethwani, Stephen Agboola:
Prospective Evaluation of the Real-world Performance of a Machine Learning Algorithm to Predict 30-Day Readmissions in Patients with Heart Failure Using Electronic Medical Record Data. AMIA 2018

a service of

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.