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检索条件"机构=Program in Operations Research and Statistics"
42 条 记 录,以下是1-10 订阅
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Effect of Tailored Coaching on Physicians’ Electronic Health Record Proficiency and User Experience: A Randomized Crossover Study
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Mayo Clinic Proceedings: Digital Health 2023年 第2期1卷 94-104页
作者: Khairat, Saif Chourasia, Prabal Kwong, Elizabeth Choi, Ji Min Seashore, Carl Carolina Health Informatics Program University of North Carolina at Chapel Hill Chapel Hill NC United States School of Nursing University of North Carolina at Chapel Hill Chapel Hill NC United States Department of Statistics and Operations Research University of North Carolina at Chapel Hill Chapel Hill NC United States Division of General Pediatrics and Adolescent Medicine University of North Carolina at Chapel Hill Chapel Hill NC United States
Objective: To examine the effect of a tailored EHR coaching intervention, informed by audit log data, on physicians’ EHR proficiency, and user experience among pediatricians. Patients and Methods: A 12-month (August ... 详细信息
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Cost-Effectiveness Analysis for Disease Prevention – A Case Study on Colorectal Cancer Screening
arXiv
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arXiv 2024年
作者: Xiong, Yi Chan, Kwun C.G. Gorfine, Malka Hsu, Li Department of Biostatistics University at Buffalo BuffaloNY United States Department of Biostatistics University of Washington SeattleWA United States Department of Statistics and Operations Research Tel Aviv University Tel Aviv Israel Biostatistics Program Fred Hutchinson Cancer Center SeattleWA United States
Cancer Screening has been widely recognized as an effective strategy for preventing the disease. Despite its effectiveness, determining when to start screening is complicated, because starting too early increases the ...
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Evaluation of Marginal and Average Sectorial Ghgs Emissions Abatement Costs Using an Open-Source Energy System Optimization Model: The Italian Case Study
SSRN
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SSRN 2024年
作者: Nicoli, Matteo Colucci, Gianvito Faria, Victor Augusto Duraes Lerede, Daniele de Queiroz, Anderson Rodrigo Savoldi, Laura MAHTEP Group Dipartimento Energia "Galileo Ferraris" Politecnico di Torino Torino Italy Department of Civil Construction & Environmental Engineering NC State University RaleighNC United States Graduate Program on Operations Research NC State University RaleighNC United States Department of Economics and Statistics "Cognetti de Martiis" Università degli Studi di Torino Italy School of Business NC Central University DurhamNC United States
To achieve the goal of transforming Europe into a carbon-neutral continent by 2050, it is essential that emission reduction efforts are supported by well-informed decision-making processes and models. This paper propo... 详细信息
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Neural FIM for learning Fisher information metrics from point cloud data
arXiv
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arXiv 2023年
作者: Fasina, Oluwadamilola Huguet, Guillaume Tong, Alexander Zhang, Yanlei Wolf, Guy Nickel, Maximilian Adelstein, Ian Krishnaswamy, Smita Applied Math Program Yale University New HavenCT United States Mila - Quebec AI Institute MontrealQC Canada Department of Mathematics and Statistics Université de Montréal MontrealQC Canada Department of Computer Science and Operations Research Université de Montréal MontrealQC Canada FAIR Meta AI United States Department of Math Yale University New HavenCT United States Department of Computer Science Yale University New HavenCT United States Department of Genetics Yale University New HavenCT United States
Although data diffusion embeddings are ubiquitous in unsupervised learning and have proven to be a viable technique for uncovering the underlying intrinsic geometry of data, diffusion embeddings are inherently limited... 详细信息
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Using Cluster Analysis and Dynamic programming for Demand Response Applied to Electricity Load in Residential Homes
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Journal of Engineering for Sustainable Buildings and Cities 2020年 第1期1卷 011006页
作者: Chanpiwat, Pattanun Gabriel, Steven A. Moglen, Rachel L. Siemann, Michael J. Department of Mechanical Engineering University of Maryland College Park 20742 MD United States Department of Mechanical Engineering and the Applied Mathematics Statistics and Scientific Computation Program University of Maryland College Park 20742 MD United States Department of Industrial Economics and Technology Management Norwegian University of Science and Technology Trondheim NO-7491 Norway Operations Research and Industrial Engineering The University of Texas at Austin Austin 78712 TX United States Resideo Technologies Austin 78702 TX United States
This paper develops means to analyze and cluster residential households into homogeneous groups based on the electricity load. Classifying customers by electricity load profiles is a top priority for retail electric p... 详细信息
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Manifold learning with arbitrary norms
arXiv
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arXiv 2020年
作者: Kileel, Joe Moscovich, Amit Zelesko, Nathan Singer, Amit Department of Mathematics Oden Institute University of Texas at Austin United States Department of Statistics and Operations Research Tel-Aviv University Israel Department of Mathematics Brown University United States Department of Mathematics and Program in Applied and Computational Mathematics Princeton University
Manifold learning methods play a prominent role in nonlinear dimensionality reduction and other tasks involving high-dimensional data sets with low intrinsic dimensionality. Many of these methods are graph-based: they... 详细信息
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The Subtype-Free Average Causal Effect for Heterogeneous Disease Etiology
arXiv
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arXiv 2022年
作者: Sasson, Amit Wang, Molin Ogino, Shuji Nevo, Daniel Department of Statistics and Operations Research Tel Aviv University Tel Aviv Israel Department of Biostatistics Harvard T.H. Chan School of Public Health BostonMA United States Department of Epidemiology Harvard T.H. Chan School of Public Health BostonMA United States Channing Division of Network Medicine Department of Medicine Brigham and Women's Hospital Harvard Medical School BostonMA United States Broad Institute of MIT and Harvard CambridgeMA United States Program in MPE Molecular Pathological Epidemiology Department of Pathology Brigham and Women's Hospital Harvard Medical School BostonMA United States
Studies have shown that the effect an exposure may have on a disease can vary for different subtypes of the same disease. However, existing approaches to estimate and compare these effects largely overlook causality. ... 详细信息
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On the cross-validation bias due to unsupervised preprocessing
arXiv
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arXiv 2019年
作者: Moscovich, Amit Rosset, Saharon Program in Applied and Computational Mathematics Princeton University PrincetonNJ United States Department of Statistics and Operations Research Tel-Aviv University Tel-Aviv Israel
Cross-validation is the de facto standard for predictive model evaluation and selection. In proper use, it provides an unbiased estimate of a model's predictive performance. However, data sets often undergo variou... 详细信息
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Note on optimal sampling strategy for structural variant detection using optical mapping
arXiv
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arXiv 2019年
作者: Li, Weiwei Hannig, Jan Jones, Corbin D. Department of Statistics and Operations Research University of North Carolina Chapel Hill United States Department of Biology and Integrative Program for Biological Genome Sciences University of North Carolina Chapel Hill United States
Structural variants compose the majority of human genetic variation, but are difficult to assess using current genomic sequencing technologies. Optical mapping technologies, which measure the size of chromosomal fragm... 详细信息
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Bayesian change point detection for functional data
arXiv
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arXiv 2018年
作者: Li, Xiuqi Ghosal, Subhashis Operations Research Graduate Program North Carolina State University United States Department of Statistics North Carolina State University United States
We propose a Bayesian method to detect change points for functional data. We extract the features of a sequence of functional data by the discrete wavelet transform (DWT), and treat each sequence of feature independen... 详细信息
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