"Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on ..."

Carlos Arias-Alcaide et al. (2022)

> Home

Details and statistics

DOI: 10.1109/BIBM55620.2022.9995321

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bibm/Arias-AlcaideSS22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bibm/Arias-AlcaideSS22
Carlos Arias-Alcaide, Cristina Soguero-Ruíz, Paloma Santos-Alvarez, José Felipe Varona Arche, Inmaculada Mora-Jiménez:
Local Naïve Bayes for Predicting Evolution of COVID-19 Patients on Self Organizing Maps. BIBM 2022: 1443-1450

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.