食源性疾病事件智能探测与预警平台

食源性疾病由来已久，每年都会造成巨大的社会经济损失.人工智能技术给食源性疾病事件的探测和预警带来了新的方法.该文基于互联网大数据开发了食源性疾病事件智能探测与预警平台，该平台面向食源性疾病事件的数据获取、数据分析以及可视化展示的全过程，通过D-M-V分层模型以及模块化开发集成了多种模块.该平台主要解决了食源性疾病事件的数据获取、数据融合、事件探测、风险预测和可视化等问题，该平台能够自动从互联网中采集社交媒体、社会经济等数据；根据数据的时空坐标对多源异构数据进行高效融合；从社交媒体数据中探测出食源性疾病事件并推断其关键信息；利用多源数据对食源性疾病风险进行预测；提供高效的可视化方法和交互手段.该文通过2018年北京市食源性疾病数据作为示例验证平台功能.

Intelligent Detection and Risk Prediction Platform for Foodborne Disease Events

Foodborne diseases have a long history and cause huge social and economic losses every year. Artificial intelligence technology has brought new approaches to the detection and warning of foodborne disease events. Based on Internet big data, this study develops an intelligent detection and risk prediction platform for foodborne disease events. The platform is oriented to the data automatic acquisition, data analysis and visual display of foodborne disease events in the Internet, through D-M-V layered models and modules. The platform solves the problems of data acquisition, data fusion, event detection, risk prediction and visualization of foodborne disease events. The platform can automatically collect social media data, social economy data and other data from the Internet, make heterogeneous data efficient fusion according to the spatio-temporal coordinates of the data, detect foodborne disease events from social media data and infer their key information; use multi-source data to predict foodborne disease risks, and provide efficient visualization methods and interactive means. In this study, we use the 2018 Beijing foodborne disease data as an example to verify the platform function.