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Beyond the Model: The Critical Role of Data Filtering in Clinical Machine Learning
Machine learning (ML) studies using clinical data often rely on preprocessing and filtering pipelines before model development. The filtering decisions made in these pipelines can alter the dataset's statistical structure and may artificially reduce or increase the complexity of the prediction task.
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