"Detecting Severe Incidents from Electronic Medical Records Using Machine ..."

Kazuya Okamoto et al. (2020)

> Home

Details and statistics

DOI: 10.3233/SHTI200385

access: open

type: Conference or Workshop Paper

metadata version: 2022-01-03

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - conf/mie/OkamotoYHOSYHK20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/mie/OkamotoYHOSYHK20
Kazuya Okamoto, Takashi Yamamoto, Shusuke Hiragi, Shosuke Ohtera, Osamu Sugiyama, Goshiro Yamamoto, Masahiro Hirose, Tomohiro Kuroda:
Detecting Severe Incidents from Electronic Medical Records Using Machine Learning Methods. MIE 2020: 1247-1248

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.