Ethical Views on Sharing Digital Data for Public Health Surveillance: Analysis of Survey Data Among Patients [0.03%]
关于公共卫生监测中共享数字数据的伦理观点：一项针对患者的调查数据分析
Renee Garett,Sean D Young
Renee Garett
Digital data, including social media, wearable device data, electronic health records, and internet search data, are increasingly being integrated into public health research and policy. Because of the current issues around public distrust ...
Allison McCarn Deiana,Nhan Tran,Joshua Agar et al.
Allison McCarn Deiana et al.
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science-the concept of integrating powerful ML methods into the real-time experimental data processing loop to accelerate scientific d...
Meng Jiang,Chuxu Zhang,Xiangliang Zhang et al.
Meng Jiang et al.
Public Service and Public Happiness: Inferences From Big Weibo Datasets for 31 Chinese Provincial Governments [0.03%]
基于微博大数据的政府服务与公众幸福感研究——来自31个省级政府的证据
Yi Zhou Ding
Yi Zhou Ding
The change of public service has usually been considered to affect public happiness. However, since the publication of the Easterlin Paradox, the causal relationship between public service and public happiness has been furiously questioned ...
Priyesh Vijayan,Yash Chandak,Mitesh M Khapra et al.
Priyesh Vijayan et al.
Many real-world applications deal with data that have an underlying graph structure associated with it. To perform downstream analysis on such data, it is crucial to capture relational information of nodes over their expanded neighborhood e...
A Comparative Study of Data-Driven Models for Travel Destination Characterization [0.03%]
基于数据驱动的目的地特征研究模型的比较分析研究论文
Linus W Dietz,Mete Sertkan,Saadi Myftija et al.
Linus W Dietz et al.
Characterizing items for content-based recommender systems is a challenging task in complex domains such as travel and tourism. In the case of destination recommendation, no feature set can be readily used as a similarity ground truth, whic...
BurnoutEnsemble: Augmented Intelligence to Detect Indications for Burnout in Clinical Psychology [0.03%]
基于临床心理学的智能系统检测心理耗竭迹象
Ghofrane Merhbene,Sukanya Nath,Alexandre R Puttick et al.
Ghofrane Merhbene et al.
Burnout, a state of emotional, physical, and mental exhaustion caused by excessive and prolonged stress, is a growing concern. It is known to occur when an individual feels overwhelmed, emotionally exhausted, and unable to meet the constant...
Deep Learning Approach for Assessing Air Quality During COVID-19 Lockdown in Quito [0.03%]
深度学习在评估新冠封锁期间基多空气质量方面的应用
Phuong N Chau,Rasa Zalakeviciute,Ilias Thomas et al.
Phuong N Chau et al.
Weather Normalized Models (WNMs) are modeling methods used for assessing air contaminants under a business-as-usual (BAU) assumption. Therefore, WNMs are used to assess the impact of many events on urban pollution. Recently, different appro...
Lisa Ehrlinger,Wolfram Wöß
Lisa Ehrlinger
High-quality data is key to interpretable and trustworthy data analytics and the basis for meaningful data-driven decisions. In practical scenarios, data quality is typically associated with data preprocessing, profiling, and cleansing for ...
Elizabeth Pierce
Elizabeth Pierce
A good performance monitoring system is crucial to knowing whether an organization's efforts are making their data capabilities better, the same, or worse. However, comprehensive performance measurements are costly. Organizations need to ex...