Conway Mike, Mowery Danielle, Ising Amy, Velupillai Sumithra, Doan Son, Gunn Julia, Donovan Michael, Wiedeman Caleb, Ballester Lance, Soetebier Karl, Tong Catherine, Burkom Howard
Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, United States.
Informatics, Decision-Enhancement, and Analytical Sciences Center (IDEAS 2.0), Veterans Affairs, Salt Lake City Health Care System , Salt Lake City, Utah, United States.
Online J Public Health Inform. 2018 Sep 21;10(2):e209. doi: 10.5210/ojphi.v10i2.8944. eCollection 2018.
This paper describes a continuing initiative of the International Society for Disease Surveillance designed to bring together public health practitioners and analytics solution developers from both academia and industry. Funded by the Defense Threat Reduction Agency, a series of consultancies have been conducted on a range of topics of pressing concern to public health (e.g. developing methods to enhance prediction of asthma exacerbation, developing tools for asyndromic surveillance from chief complaints). The topic of this final consultancy, conducted at the University of Utah in January 2017, is focused on defining a roadmap for the development of algorithms, tools, and datasets for improving the capabilities of text processing algorithms to identify negated terms (i.e. ) in free-text chief complaints and triage reports.
本文介绍了国际疾病监测协会的一项持续倡议，旨在将来自学术界和行业的公共卫生从业者与分析解决方案开发者聚集在一起。由国防威胁降低局资助，针对一系列公共卫生领域迫切关注的主题开展了一系列咨询活动（例如，开发增强哮喘恶化预测的方法，开发基于主要症状的症候群监测工具）。2017年1月在犹他大学进行的这最后一次咨询的主题，重点是为算法、工具和数据集的开发制定路线图，以提高文本处理算法识别自由文本主要症状和分诊报告中否定词（即 ）的能力。
