Much of medical data is buried in the free text of clinical notes and not captured by structured data, such as administrative codes. Natural language processing (NLP) can locate and use information that resides in unstructured free text. Chan et al. demonstrate that NLP is sensitive for identifying symptoms in hemodialysis patients. These findings highlight the benefit NLP may bring to nephrology and should prompt discussion of important considerations for NLP system design and implementation.

中文翻译：

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通过自然语言处理推进肾脏病研究和实践的注意事项。

许多医疗数据都掩埋在临床笔记的自由文本中，而未被结构化数据（例如行政法规）捕获。自然语言处理（NLP）可以查找和使用驻留在非结构化自由文本中的信息。Chan等。证明NLP对识别血液透析患者的症状敏感。这些发现强调了NLP可能给肾脏病带来的好处，并应促使人们讨论NLP系统设计和实施的重要考虑因素。