Temporal Resampling Degrades Safety and Performance of Clinical Artificial Intelligence
Resampling irregular clinical records into uniform time intervals distorts causal relationships and reduces reinforcement learning model performance by up to ...
Resampling irregular clinical records into uniform time intervals distorts causal relationships and reduces reinforcement learning model performance by up to ...
Researchers at Yantai University have developed SSAO, an adaptive oversampling method that uses Gaussian mixture model clustering and minimum enclosing ...
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© 2026 Scienmag - Science Magazine