基于人工智能的东南亚COVID-19医院准备监测和响应系统
AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
摘要：
这份研究报告提出了一个COVID-19监测和应对系统，以确定东南亚国家医院患者数量的激增和呼吸机等关键设备的短缺，以了解卫生设施的负担。这可以帮助这些地区的当局采取资源规划措施，将资源重新分配到模型确定的地区。由于缺乏关于医院患者涌入的公开数据，或者这些国家的地区可能面临的设备、ICU病房或病床短缺，我们利用Twitter数据收集这些信息。该方法已为印度各州产生了准确的结果，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。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
