Compartmental and Data-Based Modeling of Cerebral Hemodynamics: Linear Analysis [0.03%]
脑血流的隔室模型和数据驱动模型：线性分析
B C Henley,D C Shin,R Zhang et al.
B C Henley et al.
Compartmental and data-based modeling of cerebral hemodynamics are alternative approaches that utilize distinct model forms and have been employed in the quantitative study of cerebral hemodynamics. This paper examines the relation between ...
Hengyong Yu,Ge Wang
Hengyong Yu
The [Formula: see text] regularization problem has been widely used to solve the sparsity constrained problems. To enhance the sparsity constraint for better imaging performance, a promising direction is to use the [Formula: see text] norm ...
Narine Manukyan,Margaret J Eppstein,Jeffrey D Horbar
Narine Manukyan
In organized healthcare quality improvement collaboratives (QICs), teams of practitioners from different hospitals exchange information on clinical practices with the aim of improving health outcomes at their own institutions. However, what...
Optimizing Machine Learning Models for Accessible Early Cognitive Impairment Prediction: A Novel Cost-effective Model Selection Algorithm [0.03%]
面向可及性早期认知障碍预测的机器学习模型优化：一种新型低成本模型选择算法
Cognitive impairment and dementia-related diseases develop several years before moderate or severe deterioration in cognitive function occurs. Nevertheless, most dementia cases, especially in low- and middle-income countries, remain undiagn...