Search papers, labs, and topics across Lattice.
School of Computing and Information Systems, The University of Melbourne, Australia
2
0
1
Self-harm prediction models falter across hospitals due to stark lexical differences in triage notes, revealing a critical gap in model generalizability.
Achieving over 95% accuracy in identifying self-harm methods, this approach revolutionizes surveillance by moving beyond binary classifications.
