Human language is hard for AI to wrap its circuit boards around at the best of times. But the typos, abbreviations, spelling mistakes, redundancy and messy structure of clinical notes makes it the worst-case scenario for text mining. Lots of research teams are trying to solve this problem – but it’s proving much more difficult than anyone expected.

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