"Learning Health State Transition Probabilities via Wireless Body Area ..."

Tal Geller et al. (2019)

> Home

Details and statistics

DOI: 10.1109/ICC.2019.8761425

access: closed

type: Conference or Workshop Paper

metadata version: 2021-10-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/icc/GellerDKBW0B19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/icc/GellerDKBW0B19
Tal Geller, Yair Bar David, Evgeni Khmelnitsky, Irad Ben-Gal, Andrew Ward, Daniel Miller, Nicholas Bambos:
Learning Health State Transition Probabilities via Wireless Body Area Networks. ICC 2019: 1-6

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.