论文标题
基于人工智能的监测和响应系统，用于对东南亚的Covid-19的医院准备
AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
论文作者
论文摘要
这篇研究论文提出了COVID-19的监测和响应系统，以确定医院患者量的激增，以及关键设备（如东南亚国家 /地区的呼吸机）的短缺，以了解医疗机构的负担。这可以通过资源规划措施来帮助这些地区的当局，将资源重定向到模型确定的地区。由于缺乏有关医院患者涌入的公开数据，或者可能面临的设备，ICU单位或医院病床的短缺，我们利用Twitter数据来收集此信息。该方法为印度的各州带来了准确的结果，我们正在努力验证其余国家的模型，以便它可以作为当局监控医院负担的可靠工具。
This research paper proposes a COVID-19 monitoring and response system to identify the surge in the volume of patients at hospitals and shortage of critical equipment like ventilators in South-east Asian countries, to understand the burden on health facilities. This can help authorities in these regions with resource planning measures to redirect resources to the regions identified by the model. Due to the lack of publicly available data on the influx of patients in hospitals, or the shortage of equipment, ICU units or hospital beds that regions in these countries might be facing, we leverage Twitter data for gleaning this information. The approach has yielded accurate results for states in India, and we are working on validating the model for the remaining countries so that it can serve as a reliable tool for authorities to monitor the burden on hospitals.
