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Diagnostic Measures for Functional Linear Model with Nonignorable Missing Responses
Assessing the influence of individual observations of the functional linear models is important and challenging, especially when the observations are...
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Spatiotemporal Data Analysis: A Review of Techniques, Applications, and Emerging Challenges
In recent years, spatiotemporal data has continued to proliferate with the development of data collecting technologies such as the Global Positioning...
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What Data?
Actuaries now collect all kinds of information about policyholders, which can not only be used to refine a premium calculation but also to carry out...
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Quantitative Methods in Ocular Fundus Imaging: Analysis of Retinal Microvasculature
Several diseases including diabetes, hypertension, and glaucoma are known to cause alterations in the human retina that can be visualized...
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A Flexible Replication-Based Classification Approach for Parkinson’s Disease Detection by Using Voice Recordings
Detecting Parkinson’s disease (PD) by using a noninvasive low-cost tool based on acoustic features automatically extracted from voice recordings has...
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Applications in Biomedicine
This chapter presents several applications ofFuzzy recurrence plots fuzzy recurrence plotsRecurrence plots andFuzzy recurrence network fuzzy...
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Biomolecular Topology: Modelling and Analysis
With the great advancement of experimental tools, a tremendous amount of biomolecular data has been generated and accumulated in various databases....
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Medical Imaging
This chapter introduces the applications of computational conformal geometry on medical image analysis research. Specifically, we focus on magnetic...
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Predictive Model for Early Detection of Mild Cognitive Impairment and Alzheimer’s Disease
The number of people affected by Alzheimer’s disease is growing at a rapid rate, and the consequent increase in costs will have significant impacts...
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A Framework for Multimodal Imaging Biomarker Extraction with Application to Brain MRI
The crucial role of imaging biomarkers is sparsely mentioned in the literature due to the complex nature of medical images, the interpretation...
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Develo** a kidney and urinary pathway knowledge base
BackgroundChronic renal disease is a global health problem. The identification of suitable biomarkers could facilitate early detection and diagnosis...
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Five Steps in Latent Curve and Latent Change Score Modeling with Longitudinal Data
This paper describes a set of applications of one class of longitudinal growth analysis - latent curve (LCM) and latent change score (LCS) analysis...
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