Ensemble-learning regression to estimate sleep apnea severity using at-home oximetry in adults [0.03%]
基于家庭氧饱和度检测的成人睡眠呼吸暂停严重程度估算的集成学习回归方法
Gonzalo C Gutiérrez-Tobal,Daniel Álvarez,Fernando Vaquerizo-Villar et al.
Gonzalo C Gutiérrez-Tobal et al.
Overnight pulse oximetry has shown usefulness to simplify obstructive sleep apnea (OSA) diagnosis when combined with machine-learning approaches. However, the development and evaluation of a single model with ability to reach high diagnosti...
Automatic diagnosis of COVID-19 from CT images using CycleGAN and transfer learning [0.03%]
基于循环生成对抗网络和迁移学习的COVID-19 CT影像自动诊断方法
Navid Ghassemi,Afshin Shoeibi,Marjane Khodatars et al.
Navid Ghassemi et al.
The outbreak of the corona virus disease (COVID-19) has changed the lives of most people on Earth. Given the high prevalence of this disease, its correct diagnosis in order to quarantine patients is of the utmost importance in the steps of ...
Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertainty [0.03%]
考虑不确定性情况下疫情干扰的医疗废物管理逆向物流网络设计
Saeede Nosrati-Abarghooee,Mohammad Sheikhalishahi,Mohammad Mahdi Nasiri et al.
Saeede Nosrati-Abarghooee et al.
Population growth and recent disruptions caused by COVID-19 and many other man-made or natural disasters all around the world have considerably increased the demand for medical services, which has led to a rise in medical waste generation. ...
A decomposition-based multiobjective evolutionary algorithm using Simulated Annealing for the ambulance dispatching and relocation problem during COVID-19 [0.03%]
一种基于模拟退火的多目标进化算法用于COVID-19期间的救护车调度和重新定位问题
Meriem Hemici,Djaafar Zouache,Boualem Brahmi et al.
Meriem Hemici et al.
The outbreak of the COVID-19 epidemic has had a significant impact in increasing the number of emergency calls, which causes significant problems to emergency medical services centers (EMS) in many countries around the world, such as Saudi ...
A data-driven group emergency decision-making method based on interval-valued intuitionistic hesitant fuzzy sets and its application in COVID-19 pandemic [0.03%]
基于区间值直觉犹豫模糊集的新冠肺炎疫情下的数据驱动型群体应急决策方法研究
Kang Du,Ruguo Fan,Yuanyuan Wang et al.
Kang Du et al.
The outbreak of Corona Virus Disease 2019 (COVID-19) makes people more concerned about the validity and timeliness of emergency decision making. When an emergency occurs, it is difficult for decision makers (DMs) to give accurate assessment...
Huyen Trang Phan,Ngoc Thanh Nguyen,Dosam Hwang
Huyen Trang Phan
The emergence of various social networks has generated vast volumes of data. Efficient methods for capturing, distinguishing, and filtering real and fake news are becoming increasingly important, especially after the outbreak of the COVID-1...
Density estimation of SARS-CoV2 spike proteins using super pixels segmentation technique [0.03%]
基于超像素分割技术估算SARS-CoV-2刺突蛋白的密度分布
Bakr Ahmed Taha,Qussay Al-Jubouri,Yousif Al Mashhadany et al.
Bakr Ahmed Taha et al.
The worldwide outbreak of COVID-19 disease was caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV 2). The existence of spike proteins, which allow these viruses to infect host cells, is one of the distinctive biological...
An analytical tool to support public policies and isolation barriers against SARS-CoV-2 based on mobility patterns and socio-economic aspects [0.03%]
基于移动性和社会经济因素支持公共政策和隔离屏障的分析工具对抗SARS-CoV-2
Julio Cezar Soares Silva,Diogo Ferreira de Lima Silva,Nivan Roberto Ferreira Júnior et al.
Julio Cezar Soares Silva et al.
It is crucial to develop spatiotemporal analysis tools to mitigate risks during a pandemic. Many dashboards encountered in the literature do not consider how the geolocation characteristics and travel patterns may influence the spread of th...
ModInterv COVID-19: An online platform to monitor the evolution of epidemic curves [0.03%]
基于网络的平台监测新冠疫情曲线的发展变化（ModInterv COVID-19）
Arthur A Brum,Giovani L Vasconcelos,Gerson C Duarte-Filho et al.
Arthur A Brum et al.
We present the software ModInterv as an informatics tool to monitor, in an automated and user-friendly manner, the evolution and trend of COVID-19 epidemic curves, both for cases and deaths. The ModInterv software uses parametric generalize...
An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis [0.03%]
用于低成本设备深度学习模型实现的人工智能即服务架构：COVID-19诊断的案例研究
Larissa Ferreira Rodrigues Moreira,Rodrigo Moreira,Bruno Augusto Nassif Travençolo et al.
Larissa Ferreira Rodrigues Moreira et al.
Coronavirus Disease-2019 (COVID-19) causes Severe Acute Respiratory Syndrome-Corona Virus-2 (SARS-CoV-2) and has opened several challenges for research concerning diagnosis and treatment. Chest X-rays and computed tomography (CT) scans are ...