论文标题
从本体和NLP的临床笔记中识别的不良儿童期经历
Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP
论文作者
论文摘要
不利的童年经历（ACE）被定义为在整个儿童期和/或青春期中发生的高度压力和可能创伤的事件或情况的集合。它们已被证明与后来生活中心理健康疾病或其他异常行为的风险增加有关。但是，通过自然语言处理（NLP）从自由文本电子健康记录（EHRS）中识别ACE是具有挑战性的，因为（a）没有NLP准备就绪的ACE本体论； （b）有限的案例可用于机器学习，因此需要临床专家的数据注释。我们目前正在开发一种工具，该工具将使用NLP技术来帮助我们从临床笔记中浮出水面。这将使我们能够进一步研究确定ACE与随后的大规模和纵向自由文本EHR之间的ACE与随后的精神疾病发展（例如成瘾）之间的关系的证据，这以前是不可能的。
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 learning, necessitating the data annotation from clinical experts. We are currently developing a tool that would use NLP techniques to assist us in surfacing ACEs from clinical notes. This will enable us further research in identifying evidence of the relationship between ACEs and the subsequent developments of mental illness (e.g., addictions) in large-scale and longitudinal free-text EHRs, which has previously not been possible.
