Lightweight deep CNN-based models for early detection of COVID-19 patients from chest X-ray images [0.03%]
基于深度CNN的轻量级模型从胸部X光图像中进行COVID-19患者早期检测
Haval I Hussein,Abdulhakeem O Mohammed,Masoud M Hassan et al.
Haval I Hussein et al.
Hundreds of millions of people worldwide have recently been infected by the novel Coronavirus disease (COVID-19), causing significant damage to the health, economy, and welfare of the world's population. Moreover, the unprecedented number o...
Classification of neurologic outcomes from medical notes using natural language processing [0.03%]
基于自然语言处理的医学记录中的神经功能结局分类研究
Marta B Fernandes,Navid Valizadeh,Haitham S Alabsi et al.
Marta B Fernandes et al.
Neurologic disability level at hospital discharge is an important outcome in many clinical research studies. Outside of clinical trials, neurologic outcomes must typically be extracted by labor intensive manual review of clinical notes in t...
A novel project portfolio selection framework towards organizational resilience: Robust Ordinal Priority Approach [0.03%]
一种新的面向组织弹性的项目组合选择框架： robust ordinal priority 方法
Amin Mahmoudi,Mehdi Abbasi,Xiaopeng Deng
Amin Mahmoudi
The COVID-19 pandemic has affected the world's economic condition significantly, and construction projects have faced many challenges and disruptions as well. This should be an alarm bell for project-oriented organizations to be prepared fo...
Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI [0.03%]
基于非线性特征转换和先进AI的集成框架在预测印度股市中的增殖式COVID-19媒体言论的作用研究
Indranil Ghosh,Esteban Alfaro-Cortés,Matías Gámez et al.
Indranil Ghosh et al.
The outbreak of the COVID-19 pandemic has transpired the global media to gallop with reports and news on the novel Coronavirus. The intensity of the news chatter on various aspects of the pandemic, in conjunction with the sentiment of the s...
Doctors ranking through heterogeneous information: The new score functions considering patients' emotional intensity [0.03%]
基于异构信息的医生排序：考虑病人情绪强度的新评分函数
Jiayi Chen,Xihua Li
Jiayi Chen
With the popularity of the Internet and the growing complexity of COVID-19, more and more patients tend to consult doctors online. With the difficulty of doctor selection caused by a massive amount of information, this study proposes a hybr...
Real-time hand rubbing quality estimation using deep learning enhanced by separation index and feature-based confidence metric [0.03%]
基于分离指数和特征置信度的深度学习实时洗手质量评估方法
Mohammad Amin Haghpanah,Sina Vali,Amin Mousavi Torkamani et al.
Mohammad Amin Haghpanah et al.
Hand hygiene plays a crucial role in healthcare environments which can cease infections and diseases from spreading. It is also regarded as the second most effective way to control the transmission of COVID-19. The World Health Organization...
COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic [0.03%]
COVID19-MLSF：基于多任务学习的新冠疫情期间股市预测框架
Chenxun Yuan,Xiang Ma,Hua Wang et al.
Chenxun Yuan et al.
The sudden outbreak of COVID-19 has dramatically altered the state of the global economy, and the stock market has become more volatile and even fallen sharply as a result of its negative impact, heightening investors' apprehension regardin...
Md Manjurul Ahsan,Muhammad Ramiz Uddin,Md Shahin Ali et al.
Md Manjurul Ahsan et al.
Monkeypox has become a significant global challenge as the number of cases increases daily. Those infected with the disease often display various skin symptoms and can spread the infection through contamination. Recently, Machine Learning (...
MTSS-AAE: Multi-task semi-supervised adversarial autoencoding for COVID-19 detection based on chest X-ray images [0.03%]
基于胸部X射线图像的COVID-19检测的多任务半监督对抗自动编码器
Zahid Ullah,Muhammad Usman,Jeonghwan Gwak
Zahid Ullah
Efficient diagnosis of COVID-19 plays an important role in preventing the spread of the disease. There are three major modalities to diagnose COVID-19 which include polymerase chain reaction tests, computed tomography scans, and chest X-ray...
Biphasic majority voting-based comparative COVID-19 diagnosis using chest X-ray images [0.03%]
基于胸部X射线图像的双相多数表决COVID-19比较诊断方法
Kubilay Muhammed Sunnetci,Ahmet Alkan
Kubilay Muhammed Sunnetci
The COVID-19 pandemic has been affecting the world since December 2019, and nowadays, the number of infected is increasing rapidly. Chest X-ray images are clinical adjuncts that can be used in the diagnosis of COVID-19 disease. Because of t...