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ons in performance across stratified sub-populations of interest. Further efforts are necessary to identify root causes of these biases and to rectify them. The capabilities of natural language processing (NLP) methods have expanded significantly in recent years, and progress has been particularly driven by advances in data science and machine learning. However, NLP is still largely underused in patient-oriented clinical research and care (POCRC). A key reason behind this is that clinical NLP methods are typically developed, optimized,