"A Machine Learning Approach to Predicting Case Duration for Robot-Assisted ..."

Beiqun Zhao et al. (2019)

> Home

Details and statistics

DOI: 10.1007/S10916-018-1151-Y

access: closed

type: Journal Article

metadata version: 2020-06-08

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jms/ZhaoWUG19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jms/ZhaoWUG19
Beiqun Zhao, Ruth S. Waterman, Richard D. Urman, Rodney A. Gabriel:
A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery. J. Medical Syst. 43(2): 32:1-32:8 (2019)

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.