Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia [0.03%]
使用数字生物标志物和人工智能进行痴呆症早期检测的伦理问题
Elizabeth Ford,Richard Milne,Keegan Curlewis
Elizabeth Ford
Dementia poses a growing challenge for health services but remains stigmatized and under-recognized. Digital technologies to aid the earlier detection of dementia are approaching market. These include traditional cognitive screening tools p...
Punam K Saha,Syed Ahmed Nadeem,Alejandro P Comellas
Punam K Saha
Over the last decade, deep learning (DL) has contributed a paradigm shift in computer vision and image recognition creating widespread opportunities of using artificial intelligence in research as well as industrial applications. DL has bee...
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics [0.03%]
基于广义可加模型的位置、尺度和形状的学习分析数据分布回归建模概述
Fernando Marmolejo-Ramos,Mauricio Tejo,Marek Brabec et al.
Fernando Marmolejo-Ramos et al.
The advent of technological developments is allowing to gather large amounts of data in several research fields. Learning analytics (LA)/educational data mining has access to big observational unstructured data captured from educational set...
Animesh Ray
Animesh Ray
In recent years Artificial Intelligence in the form of machine learning has been revolutionizing biology, biomedical sciences, and gene-based agricultural technology capabilities. Massive data generated in biological sciences by rapid and d...
Epidemiological challenges in pandemic coronavirus disease (COVID-19): Role of artificial intelligence [0.03%]
人工智能在流行性冠状病毒病(COVID-19)疫情中的作用与挑战
Abhijit Dasgupta,Abhisek Bakshi,Srijani Mukherjee et al.
Abhijit Dasgupta et al.
World is now experiencing a major health calamity due to the coronavirus disease (COVID-19) pandemic, caused by the severe acute respiratory syndrome coronavirus clade 2. The foremost challenge facing the scientific community is to explore ...
Blockchain networks: Data structures of Bitcoin, Monero, Zcash, Ethereum, Ripple, and Iota [0.03%]
区块链网络：比特币、门罗币、零币、以太坊、瑞波和 iota 的数据结构
Cuneyt Gurcan Akcora,Yulia R Gel,Murat Kantarcioglu
Cuneyt Gurcan Akcora
Blockchain is an emerging technology that has enabled many applications, from cryptocurrencies to digital asset management and supply chains. Due to this surge of popularity, analyzing the data stored on blockchains poses a new critical cha...
Shu-Yun Le,Bruce A Shapiro
Shu-Yun Le
The normal functions of genomes depend on the precise expression of messenger RNAs and noncoding RNAs (ncRNAs) such as transfer RNAs and microRNAs in eukaryotes. These ncRNAs and functional RNA structures (FRSs) act as regulators or respons...
Andreas Holzinger,Georg Langs,Helmut Denk et al.
Andreas Holzinger et al.
Explainable artificial intelligence (AI) is attracting much interest in medicine. Technically, the problem of explainability is as old as AI itself and classic AI represented comprehensible retraceable approaches. However, their weakness wa...
A comprehensive survey of error measures for evaluating binary decision making in data science [0.03%]
全面调查数据科学中评估二元决策的误差度量措施
Frank Emmert-Streib,Salisou Moutari,Matthias Dehmer
Frank Emmert-Streib
Binary decision making is a topic of great interest for many fields, including biomedical science, economics, management, politics, medicine, natural science and social science, and much effort has been spent for developing novel computatio...
Xiang Chen,Minghui Wang,Heping Zhang
Xiang Chen
Classification trees are non-parametric statistical learning methods that incorporate feature selection and interactions, possess intuitive interpretability, are efficient, and have high prediction accuracy when used in ensembles. This pape...