Application of multiple testing procedures for identifying relevant comorbidities, from a large set, in traumatic brain injury for research applications utilizing big health-administrative data [0.03%]
多重测试程序在利用大数据健康管理数据进行创伤性脑损伤研究中鉴定大量伴随病症的相关性的应用
Sayantee Jana,Mitchell Sutton,Tatyana Mollayeva et al.
Sayantee Jana et al.
Background: Multiple testing procedures (MTP) are gaining increasing popularity in various fields of biostatistics, especially in statistical genetics. However, in injury surveillance research utilizing the growing amount...
The ABC recommendations for validation of supervised machine learning results in biomedical sciences [0.03%]
ABC在生物医学科学监督式机器学习结果验证中的建议
Davide Chicco,Giuseppe Jurman
Davide Chicco
A concentric circles view of health data relations facilitates understanding of sociotechnical challenges for learning health systems and the role of federated data networks [0.03%]
同心圆视角下的健康数据关系有助于理解学习型卫生系统中的社会技术挑战及联合数据网络的作用
Richard Milne,Mark Sheehan,Brendan Barnes et al.
Richard Milne et al.
The ability to use clinical and research data at scale is central to hopes for data-driven medicine. However, in using such data researchers often encounter hurdles-both technical, such as differing data security requirements, and social, s...
Multi-objective cluster based bidding algorithm for E-commerce search engine marketing system [0.03%]
基于多目标的聚类出价算法及其在电子商务搜索引擎营销系统中的应用
Cheng Jie,Zigeng Wang,Da Xu et al.
Cheng Jie et al.
Search engine marketing (SEM) is an important channel for the success of e-commerce. With the increasing scale of catalog items, designing an efficient modern industrial-level bidding system usually requires overcoming the following hurdles...
Magdalini Eirinaki,Iraklis Varlamis,Janhavi Dahihande et al.
Magdalini Eirinaki et al.
According to several studies, the most influencing factor in a household's energy consumption is user behavior. Changing user behavior to improve energy usage leads to efficient energy consumption, saving money for the consumer and being mo...
"Broadcast your gender." A comparison of four text-based classification methods of German YouTube channels [0.03%]
“广播你的性别”。四种基于文本的分类方法在德国油管频道中的比较
Lena Seewann,Roland Verwiebe,Claudia Buder et al.
Lena Seewann et al.
Social media platforms provide a large array of behavioral data relevant to social scientific research. However, key information such as sociodemographic characteristics of agents are often missing. This paper aims to compare four methods o...
The comparative ethics of artificial-intelligence methods for military applications [0.03%]
军事用途的人工智能方法的比较伦理学
Neil C Rowe
Neil C Rowe
Concerns about the ethics of the use of artificial intelligence by militaries have insufficiently addressed the differences between the methods (algorithms) that such software provides. These methods are discussed and key differences are id...
A novel interpretable machine learning algorithm to identify optimal parameter space for cancer growth [0.03%]
一种新颖的可解释机器学习算法，用于识别癌症生长的最佳参数空间
Helena Coggan,Helena Andres Terre,Pietro Liò
Helena Coggan
Recent years have seen an increase in the application of machine learning to the analysis of physical and biological systems, including cancer progression. A fundamental downside to these tools is that their complexity and nonlinearity make...
Leonard Kahn
Leonard Kahn
Much of the literature concerning the ethics of lethal autonomous weapons systems (LAWS) has focused on the idea of human dignity. The lion's share of that literature has been devoted to arguing that the use of LAWS is inconsistent with hum...
Bilal Abu-Salih
Bilal Abu-Salih
Metaverse is now perceived as a celebrated future version of the internet. In this new anticipated virtual universe, interconnected digital platforms leveraged by augmented, extended, and virtual realities will elevate users' immersive expe...