Fine-tuned clinical language models under-diagnose anxiety in female adolescents, partly because their notes are shorter and worded differently; TF-IDF-based sentence filtering plus gender-neutral substitution reduces this disparity.
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A Data-Centric Approach to Detecting and Mitigating Demographic Bias in Pediatric Mental Health Text: A Case Study in Anxiety Detection
Fine-tuned clinical language models under-diagnose anxiety in female adolescents, partly because their notes are shorter and worded differently; TF-IDF-based sentence filtering plus gender-neutral substitution reduces this disparity.