Prolonged viral shedding prediction on non-hospitalized, uncomplicated SARS-CoV-2 patients using their transcriptome data [0.03%]
使用转录组数据预测非住院的简单SARS-CoV-2患者的病毒长时间脱落症状
Pratheeba Jeyananthan
Pratheeba Jeyananthan
Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is identified as a highly transmissible coronavirus which threatens the world with this deadly pandemic. WHO reported that it spreads through contact, droplet, airborne, form...
COV-RadNet: A Deep Convolutional Neural Network for Automatic Detection of COVID-19 from Chest X-Rays and CT Scans [0.03%]
基于深度卷积神经网络的COVID-19胸部X光和CT影像自动检测方法COV-RadNet
Md Khairul Islam,Sultana Umme Habiba,Tahsin Ahmed Khan et al.
Md Khairul Islam et al.
With the increase in severity of COVID-19 pandemic situation, the world is facing a critical fight to cope up with the impacts on human health, education and economy. The ongoing battle with the novel corona virus, is showing much priority ...
Fahmida Aslam,Yang Yue
Fahmida Aslam
COVID-19 has severely affected almost every aspect of society worldwide. During the uncertainties of this pandemic, COVID-19 vaccines were a new hope. In particular, Covid's monitoring of the information, big data analysis played a major ro...
Portable health clinic COVID-19 system for remote patient follow-up ensuring clinical safety [0.03%]
便携式健康诊所COVID-19远程患者随访临床安全系统
Rafiqul Islam,Fumihiko Yokota,Mariko Nishikitani et al.
Rafiqul Islam et al.
Background: A developing country like Bangladesh suffers very much from the sudden appearance of the COVID-19 pandemic due to the shortage of medical facilities for testing and follow-up treatment. The Portable Health Cli...
A COMPARATIVE STUDY OF X-RAY AND CT IMAGES IN COVID-19 DETECTION USING IMAGE PROCESSING AND DEEP LEARNING TECHNIQUES [0.03%]
基于图像处理和深度学习技术的COVID-19检测中X射线与CT影像比较研究
H Mary Shyni,E Chitra
H Mary Shyni
The deadly coronavirus has not just devastated the lives of millions but has put the entire healthcare system under tremendous pressure. Early diagnosis of COVID-19 plays a significant role in isolating the positive cases and preventing the...
A death, infection, and recovery (DIR) model to forecast the COVID-19 spread [0.03%]
一种预测COVID-19传播的死亡、感染和恢复(DIR)模型
Fazila Shams,Assad Abbas,Wasiq Khan et al.
Fazila Shams et al.
Background: The SARS-Cov-2 virus (commonly known as COVID-19) has resulted in substantial casualties in many countries. The first case of COVID-19 was reported in China towards the end of 2019. Cases started to appear in ...
An innovative user-friendly platform for Covid-19 pandemic databases and resources [0.03%]
一个创新的用户友好型平台用于新冠流行病的数据和资源
Shahid Ullah,Anees Ullah,Wajeeha Rahman et al.
Shahid Ullah et al.
Background: The current coronavirus disease-19 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a global outbreak of a disease from a new coronavirus. Several databases have been pub...
Forecasting COVID-19 pandemic in Alberta, Canada using modified ARIMA models [0.03%]
使用修改的ARIMA模型预测加拿大艾伯塔省的COVID-19疫情
Jian Sun
Jian Sun
Background and objectives: Auto regressive integrated moving average (ARIMA) model is a popular model to forecast future values of a time series using the past values of the same series. However, if the variance of the ti...
Propensity score synthetic augmentation matching using generative adversarial networks (PSSAM-GAN) [0.03%]
基于生成对抗网络的倾向得分综合扩充匹配方法(PSSAM-GAN)
Shantanu Ghosh,Christina Boucher,Jiang Bian et al.
Shantanu Ghosh et al.
Understanding causality is of crucial importance in biomedical sciences, where developing prediction models is insufficient because the models need to be actionable. However, data sources, such as electronic health records, are observationa...
Role of deep learning in early detection of COVID-19: Scoping review [0.03%]
深度学习在早期发现新型冠状病毒肺炎中的作用：综述研究
Mahmood Alzubaidi,Haider Dhia Zubaydi,Ali Abdulqader Bin-Salem et al.
Mahmood Alzubaidi et al.
Background: Since the onset of the COVID-19 pandemic, the world witnessed disruption on an unprecedented scale affecting our daily lives including but not limited to healthcare, business, education, and transportation. De...