"Can Our Health Data Stay Private? A Review and Future Directions for IS ..."

Aycan Aslan et al. (2022)

> Home

Details and statistics

DOI: —

access: closed

type: Conference or Workshop Paper

metadata version: 2023-11-06

- view
  - electronic edition @ aisnet.org
- export record
  dblp key:
  - conf/wi/AslanGDK22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/wi/AslanGDK22
Aycan Aslan, Maike Greve, Till Ole Diesterhöft, Lutz M. Kolbe:
Can Our Health Data Stay Private? A Review and Future Directions for IS Research on Privacy-Preserving AI in Healthcare. Wirtschaftsinformatik 2022

a service of

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.