4.6 Article

EagleEye: A Worldwide Disease-Related Topic Extraction System Using a Deep Learning Based Ranking Algorithm and Internet-Sourced Data

期刊

SENSORS
卷 21, 期 14, 页码 -

出版社

MDPI
DOI: 10.3390/s21144665

关键词

internet-sourced data; disease-related topic ranking; Word2Vec; BiLSTM; TF-IDF; WBiLSTM-TF-IDF

资金

  1. Yonsei University [2021-22-0053]
  2. National Research Foundation of Korea [NRF-2019R1F1A1058058]

向作者/读者索取更多资源

Diseases are spreading rapidly due to globalization, and the internet data can be leveraged to provide accurate and timely disease information. This study develops an infectious disease surveillance system using deep learning algorithm and various visualization techniques to present disease data.
Due to the prevalence of globalization and the surge in people's traffic, diseases are spreading more rapidly than ever and the risks of sporadic contamination are becoming higher than before. Disease warnings continue to rely on censored data, but these warning systems have failed to cope with the speed of disease proliferation. Due to the risks associated with the problem, there have been many studies on disease outbreak surveillance systems, but existing systems have limitations in monitoring disease-related topics and internationalization. With the advent of online news, social media and search engines, social and web data contain rich unexplored data that can be leveraged to provide accurate, timely disease activities and risks. In this study, we develop an infectious disease surveillance system for extracting information related to emerging diseases from a variety of Internet-sourced data. We also propose an effective deep learning-based data filtering and ranking algorithm. This system provides nation-specific disease outbreak information, disease-related topic ranking, a number of reports per district and disease through various visualization techniques such as a map, graph, chart, correlation and coefficient, and word cloud. Our system provides an automated web-based service, and it is free for all users and live in operation.

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