AINeutralarXiv – CS AI · 5h ago6/10
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REMEDI: A Benchmark for Retention and Unlearning Evaluation in Multi-label Clinical Disease Inference
Researchers introduce REMEDI, a benchmark for evaluating machine unlearning methods in clinical disease inference using real patient data from MIMIC-III. The study reveals fundamental trade-offs between model utility and data removal effectiveness, with existing unlearning techniques proving poorly suited for multi-label medical classification tasks.