Search Results - "heart failure"

The IoT Physical Layer Design and Implementation /

Table of Contents: “…Systems and Security -- Self-Powered SoC Platform forWearable Health Care -- Toward An Integrated, Low-power Platform for Continuous Congestive Heart-failure Monitoring -- Hardware Security and Trust: Logic Locking as a Design-for-Trust Solution.…”
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Computational Biomechanics for Medicine Measurements, Models, and Predictions /

Table of Contents: “…Chapter1: Making head and neck reconstruction surgery an engineering process -- Chapter2: Atlas of Acceleration-Induced Brain Deformation from Measurements in Vivo -- Chapter3: Reconstruction of Real-World Car-to-Pedestrian Accident Using Computational Biomechanics Model: Effects of the Choice of Boundary Conditions of the Brain on Brain Injury Risk -- Chapter4: Computational Modeling of Fluid-Structure Interaction between Blood Flow and Mitral Valve -- Chapter5: Maximum Principal AAA Wall Stress is Proportional to Wall Thickness -- Chapter6: An Immersed Boundary Method for Detail-Preserving Soft Tissue Simulation from Medical Images -- Chapter7: A Flux-Conservative Finite Difference scheme for the numerical solution of the nonlinear bioheat equation -- Chapter8: Quantifying Carotid Pulse Waveforms Using Subpixel Image Registration -- Chapter9: A Discrete Element Method for modelling cell mechanics - application to the simulation of chondrocyte behavior in the growth plate -- Chapter10: Image-based biomechanical modelling of heart failure -- Chapter11: A comparison of biomechanical models for MRI to digital breast tomosynthesis 3D registration -- Chapter12: Towards a real-time full-field stereoscopic imaging system for tracking lung surface deformation under pressure controlled ventilation -- Chapter13: Patient-specific simulation: non-destructive identification method for soft tissue under large strain - Application to pelvic system -- Chapter14: Simulating Platelet Transport in Type-B Aortic Dissection.…”
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Machine Learning Paradigms Applications of Learning and Analytics in Intelligent Systems /

Table of Contents: “…Chapter 1: Machine Learning Paradigms: Applications of Learning and Analytics in Intelligent Systems -- Chapter 2: A Comparison of Machine Learning Techniques to Predict the Risk of Heart Failure -- Chapter 3: Differential gene Expression Analysis of RNA-seq Data Using Machine Learning for Cancer Research -- Chapter 4: Machine Learning Approaches for Pap-Smear Diagnosis: An Overview -- Chapter 5: Multi-Kernel Analysis Paradigm Implementing the Learning from Loads Approach for Smart Power Systems -- Chapter 6: Conceptualizing and Measuring Energy Security: Geopolitical Dimensions, Data Availability, Quantitative and Qualitative Methods -- Chapter 7: Automated Stock Price Motion Prediction Using Technical Analysis Datasets and Machine Learning -- Chapter 8: Airport Data Analysis Using Common Statistical Methods and Knowledge-Based Techniques -- Chapter 9: A Taxonomy and Review of the Network Data Envelopment Analysis Literature -- Chapter 10: Applying Advanced Data Analytics and Machine Learning to Enhance the Safety Control of Dams -- Chapter 11: Analytics and Evolving Landscape of Machine Learning for Emergency Response -- Chapter 12: Social Media Analytics, Types and Methodology -- Chapter 13: Machine Learning Methods for Opinion Mining in Text: The Past and the Future -- Chapter 14: Ship Detection Using Machine Learning and Optical Imagery in the Maritime Environment -- Chapter 15: Video Analytics for Visual Surveillance and Applications: An Overview and Survey -- Chapter 16: Machine Learning in Alternate Testing of Integrated Circuits.…”
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The Mathematics of the Uncertain A Tribute to Pedro Gil /

Table of Contents: “…The Mathematics of the uncertain -- Using Mathematica to calculate shortest confidence intervals -- An optimal transportation approach for assessing almost stochastic order -- An alternative to the variation coefficient -- Nonparametric mean estimation for big-but-biased data -- Band depths based on multiple time instances -- On the combination of depth-based ranks -- A Bayesian network model for the probabilistic safety assessment of roads -- The spiking problem in the context of the isotonic regression -- Estimation of the inter-occurrence time between events from incomplete data -- Modelling dynamic hotel pricing with isotonic functions -- On multistage stochastic mixed 0-1 optimization with time-consistent stochastic dominance risk averse management -- Bivariate copula additive models for location, scale and shape with applications in Biomedicine -- Domain mean estimators assisted by nested error regression models -- Robust approaches for fuzzy clusterwise regression based on trimming and constraints -- Robust morphometric analysis based on landmarks -- Smoothing-based tests with directional random variables -- Asymptotic behavior of fractional blending systems -- Multiple hypothesis tests: A Bayesian approach -- δ -Records observations in models with random trend -- Recent developments and advances in joint modelling of longitudinal and survival data -- Long-term survival after abdominal aortic aneurysm repair -- Some comments on stochastic orders and posets -- Optimal experimental design for model selection: A partial review -- A statistical analysis of the treatment of type 2 diabetes in the presence of chronic kidney disease in patients hospitalized for heart failure -- A diagnostic test approach for multitesting problems -- The length-time bias in tourism surveys -- Detecting change-points in the time series of surfaces occupied by pre-defined NDVI categories in continental Spain from 1981 to 2015 -- Choice functions and rejection sets -- Mathematical modeling in biological populations with reproduction in a non-predictable environment -- Field substitution and sequential sampling method -- Working with (too) few samples -- Estimation of the Owen value based on sampling -- The β -gradient for testing probability profiles -- Mixtures of Gaussians as a proxy in hybrid Bayesian networks -- Sublinear expectations: On large sample behaviours, Monte Carlo method, and coherent upper previsions -- A non-iterative estimator for interval sampling and doubly truncated data.…”
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Proceedings of the Sixth International Conference on Green and Human Information Technology ICGHIT 2018 /

Table of Contents: “…Application of Use cases for Congestive Heart Failure (by Hyo Seon Kim, Ein Jeong Hwang, Sam Lee, Deok Kyu Cho and Do Hoon Oh) -- 20. …”
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