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| Comments: | 30 pages, 11 figures. Research paper on AI-based anomaly detection in healthcare audit logs using simulation and scoping review. Intended for cs.AI / cs.CY categories |
| Subjects: | Computers and Society (cs.CY); Artificial Intelligence (cs.AI) |
| ACM classes: | I.2.6; J.3 |
| Cite as: | arXiv:2604.09630 [cs.CY] |
| (or arXiv:2604.09630v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2604.09630 arXiv-issued DOI via DataCite |
From: Cao Tram Anh Hoang [view email]
[v1]
Thu, 19 Mar 2026 15:22:02 UTC (1,253 KB)
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