"Predicting post COVID-19 rehabilitation duration with linear kernel SVR."

Elisa Setti et al. (2021)

> Home

Details and statistics

DOI: 10.1109/BHI50953.2021.9508602

access: closed

type: Conference or Workshop Paper

metadata version: 2021-08-17

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bhi/SettiLCFAPMC21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bhi/SettiLCFAPMC21
Elisa Setti, Piergiuseppe Liuzzi, Silvia Campagnini, Chiara Fanciullacci, Chiara Arienti, Michele Patrini, Andrea Mannini, Maria Chiara Carrozza:
Predicting post COVID-19 rehabilitation duration with linear kernel SVR. BHI 2021: 1-5

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.