Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning
Towards the Inference of Social and Behavioral Determinants of Sexual Health: Development of a Gold-Standard Corpus with Semi-Supervised Learning
复制标题
DOI：
--
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Daniel J. Feller;J. Zucker;O. B. D. Walk;Bharat Srikishan;Roxana Martinez;Henry Evans;M. Yin;P. Gordon;Noémie Elhadad
中科院分区：
文献类型：
--
作者：
Daniel J. Feller;J. Zucker;O. B. D. Walk;Bharat Srikishan;Roxana Martinez;Henry Evans;M. Yin;P. Gordon;Noémie Elhadad
健康的社会和行为决定因素（SBDH）是环境和行为因素，人们越来越认识到它们对健康结果的影响。我们描述了正在进行的从临床文件中提取与性健康相关的 SBDH 的研究。我们的工作解决了一些挑战。首先，性健康方面没有一套标准的SBDH；我们描述了我们对 38 个此类 SBDH 的管理。其次，尚不清楚与性健康相关的SBDH如何在临床记录中表达；我们详细介绍了带注释的语料库的特征。第三，SBDH 文献很少；我们描述了使用半监督学习通过识别可能记录 SBDH 的注释来加速注释过程。第四，我们描述了使用监督学习从临床文档中推断出一系列 SBDH 的初步结果。
Social and behavioral determinants of health (SBDH) are environmental and behavioral factors that are increasingly recognized for their impact on health outcomes. We describe ongoing research to extract SBDH related to sexual health from clinical documentation. Our work addresses several challenges. First, there is no standard set of SBDHs for sexual health; we describe our curation of 38 such SBDHs. Second, it is unknown how SBDH related to sexual health are expressed in clinical notes; we detail the characteristics of an annotated corpus. Third, SBDH documentations are rare; we describe the use of semi-supervised learning to accelerate the annotation process by identifying notes likely to document SBDH. Fourth, we describe preliminary results to infer an array of SBDH from clinical documentation using supervised learning.