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Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP. (arXiv:2208.11466v1 [cs.CL])
Aug. 25, 2022, 1:18 a.m. | Jinge Wu, Rowena Smith, Honghan Wu
cs.CL updates on arXiv.org arxiv.org
Adverse Childhood Experiences (ACEs) are defined as a collection of highly
stressful, and potentially traumatic, events or circumstances that occur
throughout childhood and/or adolescence. They have been shown to be associated
with increased risks of mental health diseases or other abnormal behaviours in
later lives. However, the identification of ACEs from free-text Electronic
Health Records (EHRs) with Natural Language Processing (NLP) is challenging
because (a) there is no NLP ready ACE ontologies; (b) there are limited cases
available for machine …
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