Large Language Model-informed ECG Dual Attention Network for Heart Failure Risk Prediction [0.03%]
基于大型语言模型的ECG双注意力网络用于心力衰竭风险预测
Chen Chen,Lei Li,Marcel Beetz et al.
Chen Chen et al.
Heart failure (HF) poses a significant public health challenge, with a rising global mortality rate. Early detection and prevention of HF could significantly reduce its impact. We introduce a novel methodology for predicting HF risk using 1...
Measuring Human and Economic Activity From Satellite Imagery to Support City-Scale Decision-Making During COVID-19 Pandemic [0.03%]
基于卫星图像测量人类和经济活动以支持城市规模的COVID-19决策制定
Rodrigo Minetto,Mauricio Pamplona Segundo,Gilbert Rotich et al.
Rodrigo Minetto et al.
The COVID-19 outbreak forced governments worldwide to impose lockdowns and quarantines to prevent virus transmission. As a consequence, there are disruptions in human and economic activities all over the globe. The recovery process is also ...
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis [0.03%]
利用结构化生物学知识进行反事实推理：关于病毒发病机制的案例研究
Jeremy Zucker,Kaushal Paneri,Sara Mohammad-Taheri et al.
Jeremy Zucker et al.
Counterfactual inference is a useful tool for comparing outcomes of interventions on complex systems. It requires us to represent the system in form of a structural causal model, complete with a causal diagram, probabilistic assumptions on ...
An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak [0.03%]
用于COVID-19爆发的流行病学神经网络及其在动态图结构数据中的应用
Valerio La Gatta,Vincenzo Moscato,Marco Postiglione et al.
Valerio La Gatta et al.
With the recent COVID-19 outbreak, we have assisted to the development of new epidemic models or the application of existing methodologies to predict the virus spread and to analyze how the different lock-down strategies can effectively inf...
Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements [0.03%]
新冠肺炎疫情期间中国的谣言问题：文化、社会与政治的缠绕关系
Yan Leng,Yujia Zhai,Shaojing Sun et al.
Yan Leng et al.
Not only did COVID-19 give rise to a global pandemic, but also it resulted in an infodemic comprising misinformation, rumor, and propaganda. The consequences of this infodemic can erode public trust, impede the containment of the virus, and...
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis [0.03%]
基于深度模型的迁移和多任务学习在生物图像分析中的应用
Wenlu Zhang,Rongjian Li,Tao Zeng et al.
Wenlu Zhang et al.
A central theme in learning from image data is to develop appropriate representations for the specific task at hand. Thus, a practical challenge is to determine what features are appropriate for specific tasks. For example, in the study of ...
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations [0.03%]
基于多尺度融合和增强操作的新冠肺炎胸部CT图像分割网络
Qingsen Yan,Bo Wang,Dong Gong et al.
Qingsen Yan et al.
A novel coronavirus disease 2019 (COVID-19) was detected and has spread rapidly across various countries around the world since the end of the year 2019. Computed Tomography (CT) images have been used as a crucial alternative to the time-co...
Huimin Chen,Zeyu Zhu,Fanchao Qi et al.
Huimin Chen et al.
Country image has a profound influence on international relations and economic development. In the worldwide outbreak of COVID-19, countries and their people display different reactions, resulting in diverse perceived images among foreign p...
Visualization of Big Spatial Data using Coresets for Kernel Density Estimates [0.03%]
基于核密度估计的大规模空间数据可视化的coreset方法研究
Yan Zheng,Yi Ou,Alexander Lex et al.
Yan Zheng et al.
The size of large, geo-located datasets has reached scales where visualization of all data points is inefficient. Random sampling is a method to reduce the size of a dataset, yet it can introduce unwanted errors. We describe a method for su...
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-19 [0.03%]
理智与 sensibility：关于使用冠状病毒传染病争议性词汇的社会媒体用户特征刻画
Hanjia Lyu,Long Chen,Yu Wang et al.
Hanjia Lyu et al.
With the world-wide development of 2019 novel coronavirus, although WHO has officially announced the disease as COVID-19, one controversial term - "Chinese Virus" is still being used by a great number of people. In the meantime, global onli...