A Public Health Surveillance Platform Exploiting Free-Text Sources via Natural Language Processing and Linked Data: Application in Adverse Drug Reaction Signal Detection Using PubMed and Twitter

机译：通过自然语言处理和链接数据开发自由文本源的公共卫生监视平台：在使用PubMed和Twitter的药物不良反应信号检测中的应用

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This paper presents a platform enabling the systematic exploitation of diverse, free-text data sources for public health surveillance applications. The platform relies on Natural Language Processing (NLP) and a micro-services architecture, utilizing Linked Data as a data representational formalism. In order to perform NLP in an extendable and modular fashion, the proposed platform employs the Apache Unstructured Information Management Architecture (UTMA) and semantically annotates the results through a newly developed UIMA Semantic Common Analysis Structure Consumer (SCC). The SCC output is a graph represented in the Resource Description Framework (RDF) based on the W3C Web Annotation Data Model (WADM) and SNOMED-CT. We also present the use of the proposed platform through an exemplar application scenario concerning the detection of adverse drug reaction (ADR) signals using data retrieved from PubMed and Twitter.

机译：本文提出了一个平台，该平台可以系统地利用各种自由文本数据源来进行公共卫生监视。该平台依靠自然语言处理（NLP）和微服务架构，利用链接数据作为数据表示形式。为了以可扩展和模块化的方式执行NLP，建议的平台采用Apache非结构化信息管理体系结构（UTMA），并通过新开发的UIMA语义公共分析结构使用者（SCC）在语义上注释结果。 SCC输出是基于W3C Web批注数据模型（WADM）和SNOMED-CT在资源描述框架（RDF）中表示的图形。我们还将通过示例应用场景介绍拟议平台的使用，该应用场景涉及使用从PubMed和Twitter检索的数据来检测药物不良反应（ADR）信号。

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《International workshop on process-oriented information systems in health-care;International workshop on knowledge representation for health care》|2017年|51-67|共17页
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Pantelis Natsiavas; Nicos Maglaveras; Vassilis Koutkias;
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Public health surveillance; Micro-services; Semantic Web; Linked Data; Natural Language Processing; Adverse drug reactions;

机译：公共卫生监督;微服务;语义网;关联数据;自然语言处理;药物不良反应;

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1. Surveillance of methadone-related adverse drug events using multiple public health data sources. [J] . Sims SA, Snow LA, Porucznik CA Journal of biomedical informatics. . 2007,第4期

机译：使用多个公共卫生数据源监测与美沙酮有关的不良药物事件。
2. The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink [J] . Zheng Chengyi, Yu Wei, Xie Fagen, International journal of medical informatics . 2019,第JULa期

机译：在疫苗安全性数据链接中使用自然语言处理来识别五个卫生保健系统中与Tdap相关的局部反应
3. The use of natural language processing to identify Tdap-related local reactions at five health care systems in the Vaccine Safety Datalink [J] . Zheng Chengyi, Yu Wei, Xie Fagen, International journal of medical informatics . 2019,第Jula期

机译：使用自然语言处理在疫苗安全DataLink中的五个医疗保健系统中识别与TDAP相关的本地反应
4. A Public Health Surveillance Platform Exploiting Free-Text Sources via Natural Language Processing and Linked Data: Application in Adverse Drug Reaction Signal Detection Using PubMed and Twitter [C] . Pantelis Natsiavas, Nicos Maglaveras, Vassilis Koutkias International Workshop on Knowledge Representation for Health Care . 2017

机译：公共卫生监测平台通过自然语言处理和链接数据利用自由文本来源：使用PubMed和Twitter在不利药物反应信号检测中的应用
5. Study of Natural Health Product Adverse Reactions (SONAR): Active Surveillance of Adverse Events Following Concurrent Natural Health Product and Prescription Drug Use in Community Pharmacies [O] . Sunita Vohra, Kosta Cvijovic, Heather Boon, -1

机译：天然的研究保健品不良反应（sONaR）：不良事件继并发天然保健品和处方药使用在社区药店的主动监测
6. Early Detection of Adverse Drug Reactions in Social Health Networks: A Natural Language Processing Pipeline for Signal Detection [O] . Azadeh Nikfarjam, Julia D Ransohoff, Alison Callahan, 2019

机译：社会健康网络中不良药物反应的早期检测：信号检测的自然语言处理管道

A Public Health Surveillance Platform Exploiting Free-Text Sources via Natural Language Processing and Linked Data: Application in Adverse Drug Reaction Signal Detection Using PubMed and Twitter

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