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Woh Kai Xuan

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#artificial intelligence Conference Open access Mar 2026

Signal in the Noise: An Auditable Reliability Layer for Biomedical Text Classification

This work introduces a conservative, fully auditable spell-correction reliability layer conceived as a safety-oriented preprocessing module rather than a maximal-accuracy corrector: under conditions of uncertainty, the system abstains from editing, in accordance with a medical do-no-harm philosophy.

Moustafa Mohamed Hassan, Sharon Wong, Woh Kai Xuan · 0 citations

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