"Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case ..."

Oduwa Edo-Osagie et al. (2019)

> Home

Details and statistics

DOI: 10.5220/0007366904910500

access: closed

type: Conference or Workshop Paper

metadata version: 2023-06-26

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icpram/Edo-OsagieILE19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icpram/Edo-OsagieILE19
Oduwa Edo-Osagie, Beatriz de la Iglesia, Iain Lake, Obaghe Edeghere:
Deep Learning for Relevance Filtering in Syndromic Surveillance: A Case Study in Asthma/Difficulty Breathing. ICPRAM 2019: 491-500

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.