Autosomal Dominantly Inherited Alzheimer Disease: Analysis of genetic subgroups by Machine Learning [0.03%]
机器学习分析常染色体显性遗传阿尔茨海默病的基因亚组
Diego Castillo-Barnes,Li Su,Javier Ramírez et al.
Diego Castillo-Barnes et al.
Despite subjects with Dominantly-Inherited Alzheimer's Disease (DIAD) represent less than 1% of all Alzheimer's Disease (AD) cases, the Dominantly Inherited Alzheimer Network (DIAN) initiative constitutes a strong impact in the understandin...
Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities [0.03%]
生物和医学中的机器学习：原理、实践及机遇
Marinka Zitnik,Francis Nguyen,Bo Wang et al.
Marinka Zitnik et al.
New technologies have enabled the investigation of biology and human health at an unprecedented scale and in multiple dimensions. These dimensions include myriad properties describing genome, epigenome, transcriptome, microbiome, phenotype,...
Nearest neighbor imputation using spatial-temporal correlations in wireless sensor networks [0.03%]
基于时空相关性的最近邻插值传感器网络缺失数据注入算法
YuanYuan Li,Lynne E Parker
YuanYuan Li
Missing data is common in Wireless Sensor Networks (WSNs), especially with multi-hop communications. There are many reasons for this phenomenon, such as unstable wireless communications, synchronization issues, and unreliable sensors. Unfor...
Quantifying the Correctness, Computational Complexity, and Security of Privacy-Preserving String Comparators for Record Linkage [0.03%]
用于记录链接的隐私保护字符串比较器的正确性、计算复杂性和安全性的量化研究
Elizabeth Durham,Yuan Xue,Murat Kantarcioglu et al.
Elizabeth Durham et al.
Record linkage is the task of identifying records from disparate data sources that refer to the same entity. It is an integral component of data processing in distributed settings, where the integration of information from multiple sources ...
Use of Secondary Data to Estimate Instantaneous Model Parameters of Diabetic Heart Disease: Lemonade Method [0.03%]
二次利用数据估计糖尿病心脏病瞬时模型参数：化不利为有利方法
Wen Ye,Deanna Jm Isaman,Jacob Barhak
Wen Ye
With the increasing burden of chronic diseases on the health care system, Markov-type models are becoming popular to predict the long-term outcomes of early intervention and to guide disease management. However, statisticians have not been ...
Applying capacity analyses to psychophysical evaluation of multisensory interactions [0.03%]
容量分析在多感觉交互心理物理评价中的应用研究
Christina E Hugenschmidt,Satoru Hayasaka,Ann M Peiffer et al.
Christina E Hugenschmidt et al.
Determining when, if, and how information from separate sensory channels has been combined is a fundamental goal of research on multisensory processing in the brain. This can be a particular challenge in psychophysical data, as there is no ...