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During the coronavirus disease 2019 (COVID-19) pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decision-making. We propose a data-driven approach for automatic prediction of deterioration…

As COVID-19 transitions into an endemic disease that remains constantly present in the population at a stable level, monitoring its prevalence without invasive measures becomes increasingly important. In this paper, we present a deep neural…

定量方法 · 定量生物学 2025-12-02 Yifei Chen , Eric Liang

Due to the characteristics of COVID-19, the epidemic develops rapidly and overwhelms health service systems worldwide. Many patients suffer from systemic life-threatening problems and need to be carefully monitored in ICUs. Thus the…

机器学习 · 计算机科学 2020-07-20 Liantao Ma , Xinyu Ma , Junyi Gao , Chaohe Zhang , Zhihao Yu , Xianfeng Jiao , Wenjie Ruan , Yasha Wang , Wen Tang , Jiangtao Wang

Coronavirus disease 2019 (COVID-19) has spread all over the world for three years, but medical facilities in many areas still aren't adequate. There is a need for rapid COVID-19 diagnosis to identify high-risk patients and maximize the use…

图像与视频处理 · 电气工程与系统科学 2023-04-27 Lin Yang , Shuihua Wang , Yudong Zhang

Long COVID continues to challenge public health by affecting a significant segment of individuals who have recovered from acute SARS-CoV-2 infection yet endure prolonged and often debilitating symptoms. Social media has emerged as a vital…

社会与信息网络 · 计算机科学 2024-12-30 Nirmalya Thakur

Accurately and efficiently diagnosing Post-Acute Sequelae of COVID-19 (PASC) remains challenging due to its myriad symptoms that evolve over long- and variable-time intervals. To address this issue, we developed a hybrid natural language…

Coronavirus Disease 2019 (COVID-19) is a rapidly emerging respiratory disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Due to the rapid human-to-human transmission of SARS-CoV-2, many healthcare systems…

机器学习 · 计算机科学 2020-12-01 Patrick Schwab , August DuMont Schütte , Benedikt Dietz , Stefan Bauer

A prompt severity assessment model of patients confirmed for having infectious diseases could enable efficient diagnosis while alleviating burden on the medical system. This study aims to develop a SARS-CoV-2 severity assessment model and…

机器学习 · 计算机科学 2022-02-18 Min Sue Park , Hyeontae Jo , Haeun Lee , Se Young Jung , Hyung Ju Hwang

COVID-19 has challenged health systems to learn how to learn. This paper describes the context, methods and challenges for learning to improve COVID-19 care at one academic health center. Challenges to learning include: (1) choosing a right…

Understanding the temporal dynamics of COVID-19 patient phenotypes is necessary to derive fine-grained resolution of pathophysiology. Here we use state-of-the-art deep neural networks over an institution-wide machine intelligence platform…

Severe acute respiratory disease SARS-CoV-2 has had a found impact on public health systems and healthcare emergency response especially with respect to making decisions on the most effective measures to be taken at any given time. As…

机器学习 · 计算机科学 2023-09-19 Charithea Stylianides , Kleanthis Malialis , Panayiotis Kolios

The COVID19 pandemic, a unique and devastating respiratory disease outbreak, has affected global populations as the disease spreads rapidly. Recent Deep Learning breakthroughs may improve COVID19 prediction and forecasting as a tool of…

图像与视频处理 · 电气工程与系统科学 2023-10-24 Md Aminul Islam , Shabbir Ahmed Shuvo , Mohammad Abu Tareq Rony , M Raihan , Md Abu Sufian

The coronavirus disease 2019 (COVID-19) has led to a global pandemic of significant severity. In addition to its high level of contagiousness, COVID-19 can have a heterogeneous clinical course, ranging from asymptomatic carriers to severe…

机器学习 · 计算机科学 2023-07-03 Yuelyu Ji , Yuhe Gao , Runxue Bao , Qi Li , Disheng Liu , Yiming Sun , Ye Ye

The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods and techniques…

The COVID19 pandemic globally and significantly has affected the life and health of many communities. The early detection of infected patients is effective in fighting COVID19. Using radiology (X-Ray) images is perhaps the fastest way to…

图像与视频处理 · 电气工程与系统科学 2021-06-01 Wu Chao , Mohammad Khishe , Mokhtar Mohammadi , Sarkhel H. Taher Karim , Tarik A. Rashid

The COVID-19 pandemic has posed a heavy burden to the healthcare system worldwide and caused huge social disruption and economic loss. Many deep learning models have been proposed to conduct clinical predictive tasks such as mortality…

机器学习 · 计算机科学 2024-01-24 Junyi Gao , Yinghao Zhu , Wenqing Wang , Yasha Wang , Wen Tang , Ewen M. Harrison , Liantao Ma

The COVID-19 pandemic, caused by SARS-CoV-2, highlighted the critical need for accurate prediction of disease severity to optimize healthcare resource allocation and patient management. The spike protein, which facilitates viral entry into…

机器学习 · 计算机科学 2025-06-02 Caio Cheohen , Vinnícius M. S. Gomes , Manuela L. da Silva

Because of the rapid spread of COVID-19 to almost every part of the globe, huge volumes of data and case studies have been made available, providing researchers with a unique opportunity to find trends and make discoveries like never…

机器学习 · 计算机科学 2021-10-20 Sarwan Ali , Yijing Zhou , Murray Patterson

COVID-19 is a severe and acute viral disease that can cause symptoms consistent with pneumonia in which inflammation is caused in the alveolous regions of the lungs leading to a build-up of fluid and breathing difficulties. Thus, the…

图像与视频处理 · 电气工程与系统科学 2025-07-08 Yinuo Wang , Juhyun Bae , Ka Ho Chow , Shenyang Chen , Shreyash Gupta

The COVID-19 pandemic is causing a major outbreak in more than 150 countries around the world, having a severe impact on the health and life of many people globally. One of the crucial step in fighting COVID-19 is the ability to detect the…

计算机视觉与模式识别 · 计算机科学 2021-04-06 Shervin Minaee , Rahele Kafieh , Milan Sonka , Shakib Yazdani , Ghazaleh Jamalipour Soufi