Department of Applied Mathematics and Scientific Computing, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India.
Machine Intelligence in Medicine and Imaging (MI-2) Lab, Mayo Clinic, Phoenix, AZ, United States.
Front Public Health. 2023 Mar 3;11:1124998. doi: 10.3389/fpubh.2023.1124998. eCollection 2023.
The outbreak of COVID-19, a little more than 2 years ago, drastically affected all segments of society throughout the world. While at one end, the microbiologists, virologists, and medical practitioners were trying to find the cure for the infection; the Governments were laying emphasis on precautionary measures like lockdowns to lower the spread of the virus. This pandemic is perhaps also the first one of its kind in history that has research articles in all possible areas as like: medicine, sociology, psychology, supply chain management, mathematical modeling, etc. A lot of work is still continuing in this area, which is very important also for better preparedness if such a situation arises in future. The objective of the present study is to build a research support tool that will help the researchers swiftly identify the relevant literature on a specific field or topic regarding COVID-19 through a hierarchical classification system. The three main tasks done during this study are data preparation, data annotation and text data classification through bi-directional long short-term memory (bi-LSTM).
COVID-19 的爆发，距今已有两年多了，对全球各个社会层面都产生了巨大的影响。一方面，微生物学家、病毒学家和医疗从业者都在努力寻找治疗这种感染的方法；另一方面，各国政府也在强调封锁等预防措施，以降低病毒的传播。这场大流行也许也是历史上第一个在各个领域都有研究文章的大流行，比如医学、社会学、心理学、供应链管理、数学建模等等。该领域仍有大量工作正在进行，这对于未来如果出现类似情况做好更好的准备也非常重要。本研究的目的是构建一个研究支持工具，通过分层分类系统帮助研究人员快速识别特定领域或 COVID-19 主题的相关文献。在这项研究中完成了三项主要任务：通过双向长短期记忆网络（bi-LSTM）进行数据准备、数据注释和文本数据分类。
