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Regression Analysis

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A Time-Series Water Level Forecasting Model Based on Imputation and Variable Selection Method.

Computational intelligence and neuroscience Nov 9, 2017
Reservoirs are important for households and impact the national economy. This paper proposed a time-series forecasting model based on estimating a missing value followed by variable selection to forecast the reservoir's water level. This study collec...
Water Regression Analysis Machine Learning Time Factors Algorithms Taiwan Weather Environment Design Forecasting Factor Analysis, Statistical Fresh Water Water Supply Water Resources
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Collaborative targeted learning using regression shrinkage.

Statistics in medicine Nov 2, 2017
Causal inference practitioners are routinely presented with the challenge of model selection and, in particular, reducing the size of the covariate set with the goal of improving estimation efficiency. Collaborative targeted minimum loss-based estima...
Pregnancy Female Infant, Newborn Humans Machine Learning Asthma Causality Algorithms Models, Statistical Computer Simulation Regression Analysis Pregnancy Complications Outcome Assessment, Health Care Propensity Score Likelihood Functions Biostatistics
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Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction.

Journal of chemical information and modeling Oct 27, 2017
Median lethal death, LD, is a general indicator of compound acute oral toxicity (AOT). Various in silico methods were developed for AOT prediction to reduce costs and time. In this study, we developed an improved molecular graph encoding convolutiona...
Machine Learning Toxicity Tests Lethal Dose 50 Informatics Models, Statistical Regression Analysis Administration, Oral Automation
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Learning-based deformable registration for infant MRI by integrating random forest with auto-context model.

Medical physics Oct 19, 2017
PURPOSE: Accurately analyzing the rapid structural evolution of human brain in the first year of life is a key step in early brain development studies, which requires accurate deformable image registration. However, due to (a) dynamic appearance and ...
Infant, Newborn Infant Image Processing, Computer-Assisted Models, Theoretical Magnetic Resonance Imaging Regression Analysis Hippocampus Humans Machine Learning
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Artificial neural networks as alternative tool for minimizing error predictions in manufacturing ultradeformable nanoliposome formulations.

Drug development and industrial pharmacy Oct 17, 2017
This work was aimed at determining the feasibility of artificial neural networks (ANN) by implementing backpropagation algorithms with default settings to generate better predictive models than multiple linear regression (MLR) analysis. The study was...
Neural Networks, Computer Algorithms Linear Models Regression Analysis Chemistry, Pharmaceutical Liposomes
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Convergent Time-Varying Regression Models for Data Streams: Tracking Concept Drift by the Recursive Parzen-Based Generalized Regression Neural Networks.

International journal of neural systems Oct 12, 2017
One of the greatest challenges in data mining is related to processing and analysis of massive data streams. Contrary to traditional static data mining problems, data streams require that each element is processed only once, the amount of allocated m...
Time Factors Models, Neurological Regression Analysis Data Mining Algorithms Computer Simulation Learning Humans Neural Networks, Computer
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Use of automated learning techniques for predicting mandibular morphology in skeletal class I, II and III.

Forensic science international Oct 12, 2017
BACKGROUND: The prediction of the mandibular bone morphology in facial reconstruction for forensic purposes is usually performed considering a straight profile corresponding to skeletal class I, with application of linear and parametric analysis whic...
Anatomic Landmarks Cephalometry Malocclusion Mandible Support Vector Machine Regression Analysis Humans Neural Networks, Computer Female Young Adult Adult Male Adolescent
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Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals.

Computer methods and programs in biomedicine Sep 20, 2017
BACKGROUND AND OBJECTIVES: A huge number of solutions based on computational systems have been recently developed for the classification of cognitive abnormalities in older people, so that individuals at high risk of developing neurodegenerative dise...
Nonlinear Dynamics Early Diagnosis Female ROC Curve Humans Aged Neural Networks, Computer Age Factors Aged, 80 and over Male Machine Learning Regression Analysis Sensitivity and Specificity Middle Aged Prognosis Sex Factors Cognitive Dysfunction Dementia
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A deep learning approach to estimate chemically-treated collagenous tissue nonlinear anisotropic stress-strain responses from microscopy images.

Acta biomaterialia Sep 20, 2017
UNLABELLED: Biological collagenous tissues comprised of networks of collagen fibers are suitable for a broad spectrum of medical applications owing to their attractive mechanical properties. In this study, we developed a noninvasive approach to estim...
Microscopy, Confocal Regression Analysis Nonlinear Dynamics Collagen Stress, Mechanical Elasticity Glutaral Neural Networks, Computer Pericardium Machine Learning Animals Anisotropy Cattle ROC Curve
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Spectrophotometric determination of fluoxetine by molecularly imprinted polypyrrole and optimization by experimental design, artificial neural network and genetic algorithm.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Sep 13, 2017
A selective method based on molecularly imprinted polymer (MIP) solid-phase extraction (SPE) using UV-Vis spectrophotometry as a detection technique was developed for the determination of fluoxetine (FLU) in pharmaceutical and human serum samples. Th...
Calibration Algorithms Reference Standards Solutions Regression Analysis Spectrophotometry Neural Networks, Computer Fluoxetine Polymers Pyrroles Molecular Imprinting
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