"Prediction of ICU admission for COVID-19 patients: a Machine Learning ..."

Lorenzo Famiglini et al. (2021)

> Home

Details and statistics

DOI: 10.1109/CBMS52027.2021.00065

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-02

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/cbms/FamigliniBCCC21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/cbms/FamigliniBCCC21
Lorenzo Famiglini, Giorgio Bini, Anna Carobene, Andrea Campagner, Federico Cabitza:
Prediction of ICU admission for COVID-19 patients: a Machine Learning approach based on Complete Blood Count data. CBMS 2021: 160-165

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.