Song, Fujian (2026) Can advancement in artificial intelligence improve transitivity assessment in network meta-analysis for clinical decision support? AI Evidence-Based Medicine, 1 (1). ISSN 3070-989X
Preview |
PDF (Song 2026 _can-advancement-in-artificial-intelligence-improve)
- Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (380kB) | Preview |
| Item Type: | Article |
|---|---|
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Centres > Public Health |
| Depositing User: | LivePure Connector |
| Date Deposited: | 11 Sep 2026 12:45 |
| Last Modified: | 11 Sep 2026 12:45 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/104496 |
| DOI: | 10.1097/ai9.0000000000000002 |
Downloads
Downloads per month over past year
Actions (login required)
![]() |
View Item |
Tools
Tools