Early detection of disease outbreaks is crucial to ensure timely intervention by the health authorities. Due to the challenges associated with traditional indicator-based surveillance, monitoring informal sources such as online media has become increasingly popular. However, owing to the number of online articles getting published everyday, manual screening of the articles is impractical. To address this, we propose Health Sentinel. It is a multi-stage information extraction pipeline that uses a combination of ML and non-ML methods to extract events-structured information concerning disease outbreaks or other unusual health events-from online articles. The extracted events are made available to the Media Scanning and Verification Cell (MSVC) at the National Centre for Disease Control (NCDC), Delhi for analysis, interpretation and further dissemination to local agencies for timely intervention. From April 2022 till date, Health Sentinel has processed over 300 million news articles and identified over 95,000 unique health events across India of which over 3,500 events were shortlisted by the public health experts at NCDC as potential outbreaks.
翻译：疾病暴发的早期检测对于确保卫生当局及时干预至关重要。由于传统基于指标的监测方法面临诸多挑战，监测在线媒体等非正式来源已日益普及。然而，由于每日发布的在线文章数量庞大，人工筛选文章并不现实。为此，我们提出了健康哨兵系统。这是一个多阶段信息抽取流程，结合机器学习与非机器学习方法，从在线文章中提取有关疾病暴发或其他异常健康事件的结构化事件信息。抽取的事件被提供给位于德里的国家疾病控制中心（NCDC）的媒体扫描与核实小组（MSVC），用于分析、解读并进一步分发给地方机构以实施及时干预。自2022年4月至今，健康哨兵已处理超过3亿篇新闻文章，在全印度识别出超过95,000个独特的健康事件，其中超过3,500个事件被NCDC的公共卫生专家筛选为潜在暴发事件。
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一是主要脏器无疾病，身体形态发育良好，体形均匀，人体各系统具有良好的生理功能，有较强的身体活动能力和劳动能力，这是对健康最基本的要求；
二是对疾病的抵抗能力较强，能够适应环境变化，各种生理刺激以及致病因素对身体的作用。传统的健康观是“无病即健康”，现代人的健康观是整体健康，世界卫生组织提出“健康不仅是躯体没有疾病，还要具备心理健康、社会适应良好和有道德”。因此，现代人的健康内容包括：躯体健康、心理健康、心灵健康、社会健康、智力健康、道德健康、环境健康等。健康是人的基本权利。健康是人生的第一财富。
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