A toolkit for clinical NLP with spaCy.

A toolkit for clinical NLP with spaCy. Features include sentence splitting, section detection, and asserting negation, family history, and uncertainty.


import medspacy from medspacy.ner import TargetRule nlp = medspacy.load() print(nlp.pipe_names) nlp.get_pipe('target_matcher').add([TargetRule('stroke', 'CONDITION'), TargetRule('diabetes', 'CONDITION'), TargetRule('pna', 'CONDITION')]) doc = nlp('Patient has hx of stroke. Mother diagnosed with diabetes. No evidence of pna.') for ent in doc.ents: print(ent, ent._.is_negated, ent._.is_family, ent._.is_historical) medspacy.visualization.visualize_ent(doc)
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Categories biomedical scientific research

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