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Linear Models

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Predicting daily outcomes in acetaminophen-induced acute liver failure patients with machine learning techniques.

Computer methods and programs in biomedicine Apr 11, 2019
BACKGROUND/OBJECTIVE: Assessing prognosis for acetaminophen-induced acute liver failure (APAP-ALF) patients during the first week of hospitalization often presents significant challenges. Current models such as the King's College Criteria (KCC) and t...
Databases, Factual Prognosis Retrospective Studies Humans Machine Learning Linear Models Acetaminophen Liver Failure, Acute Male Area Under Curve Middle Aged Female Bayes Theorem Severity of Illness Index Adult ROC Curve Registries Sensitivity and Specificity Treatment Outcome Predictive Value of Tests
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Identification of piecewise linear dynamical systems using physically-interpretable neural-fuzzy networks: Methods and applications to origami structures.

Neural networks : the official journal of the International Neural Network Society Apr 8, 2019
Self-locking origami structures are characterized by their piecewise linear constitutive relations between force and deformation, which, in practice, are always completely opaque and unmeasurable: the number of piecewise segments, the positions of no...
Neural Networks, Computer Models, Theoretical Fuzzy Logic Neurons Linear Models
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Efficient Corrections for DFT Noncovalent Interactions Based on Ensemble Learning Models.

Journal of chemical information and modeling Apr 8, 2019
Machine learning has exhibited powerful capabilities in many areas. However, machine learning models are mostly database dependent, requiring a new model if the database changes. Therefore, a universal model is highly desired to accommodate the wides...
Density Functional Theory Linear Models Databases, Chemical Computational Chemistry Machine Learning
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Forecasting future Humphrey Visual Fields using deep learning.

PloS one Apr 5, 2019
PURPOSE: To determine if deep learning networks could be trained to forecast future 24-2 Humphrey Visual Fields (HVFs).
Linear Models Visual Field Tests Deep Learning Models, Statistical Visual Fields Aged Adult Male Middle Aged Disease Progression Spatio-Temporal Analysis Humans Forecasting Glaucoma Databases, Factual Algorithms Female
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Estimating Multiscale Direct Causality Graphs in Neural Spike-Field Networks.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 28, 2019
Neural representations span various spatiotemporal scales of brain activity, from the spiking activity of single neurons to field activity measuring large-scale networks. The simultaneous analyses of spikes and fields to uncover causal interactions i...
Evoked Potentials Biophysics Causality Models, Neurological Humans Linear Models Neural Networks, Computer Algorithms Brain Reproducibility of Results
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Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations.

Journal of computational neuroscience Mar 20, 2019
Several neuron types have been shown to exhibit (subthreshold) membrane potential resonance (MPR), defined as the occurrence of a peak in their voltage amplitude response to oscillatory input currents at a preferred (resonant) frequency. MPR has been...
Linear Models Neural Pathways Biological Clocks Neurons Nonlinear Dynamics Synapses Membrane Potentials Humans Neural Networks, Computer Algorithms Models, Neurological
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Joint sparse graph and flexible embedding for graph-based semi-supervised learning.

Neural networks : the official journal of the International Neural Network Society Mar 14, 2019
This letter introduces a framework for graph-based semi-supervised learning by estimating a flexible non-linear projection and its linear regression model. Unlike existing works, the proposed framework jointly estimates the graph structure, the non-l...
Supervised Machine Learning Linear Models Algorithms
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Exploring the use of machine learning for risk adjustment: A comparison of standard and penalized linear regression models in predicting health care costs in older adults.

PloS one Mar 6, 2019
BACKGROUND: Payers and providers still primarily use ordinary least squares (OLS) to estimate expected economic and clinical outcomes for risk adjustment purposes. Penalized linear regression represents a practical and incremental step forward that p...
Health Care Costs Comorbidity Linear Models Risk Adjustment Humans Aged Adult Male Machine Learning Retrospective Studies Female
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Understanding of proton induced synaptic behaviors in three-terminal synapse device for neuromorphic systems.

Nanotechnology Feb 28, 2019
In this study, we investigate a proton-based three-terminal (3-T) synapse device to realize linear weight-update and I-V linearity characteristics for neuromorphic systems. The conductance states of the 3-T synapse device can be controlled by modulat...
Protons Neural Networks, Computer Silicon Dioxide Models, Neurological Synapses Linear Models
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Predicting blood pressure from physiological index data using the SVR algorithm.

BMC bioinformatics Feb 28, 2019
BACKGROUND: Blood pressure diseases have increasingly been identified as among the main factors threatening human health. How to accurately and conveniently measure blood pressure is the key to the implementation of effective prevention and control m...
Machine Learning Female Adult Male Support Vector Machine Blood Pressure Humans Neural Networks, Computer Linear Models
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