Conference item : Abstract
Developing a framework for safe AI model development on sensitive healthcare data
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 184.1KB, Terms of use)
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- Publisher copy:
- 10.23889/ijpds.v9i5.2521
Authors
+ Medical Research Council
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- Funder identifier:
- https://ror.org/03x94j517
- Grant:
- MR/T033371/1
- Publisher:
- Swansea University
- Journal:
- International Journal of Population Data Science More from this journal
- Volume:
- 9
- Issue:
- 5
- Article number:
- 038
- Publication date:
- 2024-09-10
- Event title:
- International Population Data Linkage Network Conference (IPDLN 2024)
- Event location:
- Chicago, USA
- Event website:
- https://ipdln.org/2024-conference/
- Event start date:
- 2024-09-15
- Event end date:
- 2024-09-18
- DOI:
- EISSN:
-
2399-4908
- Language:
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English
- Subtype:
-
Abstract
- Pubs id:
-
2031393
- Local pid:
-
pubs:2031393
- Deposit date:
-
2025-06-25
- ARK identifier:
Terms of use
- Copyright holder:
- Hotchkiss et al.
- Copyright date:
- 2024
- Rights statement:
- ©The Authors. Open Access under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/deed.en).
- Licence:
- CC Attribution (CC BY)
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