AIMC Topic: 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...
Female Adult Male Support Vector Machine Humans Neural Networks, Computer Machine Learning Blood Pressure Linear Models
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Predicting centre of mass horizontal speed in low to severe swimming intensities with linear and non-linear models.

Journal of sports sciences Feb 6, 2019
We aimed to compare multilayer perceptron (MLP) neural networks, radial basis function neural networks (RBF) and linear models (LM) accuracy to predict the centre of mass (CM) horizontal speed at low-moderate, heavy and severe swimming intensities us...
Time and Motion Studies Pulmonary Gas Exchange Male Adolescent Athletic Performance Neural Networks, Computer Lactic Acid Young Adult Physical Conditioning, Human Humans Machine Learning Swimming Biomechanical Phenomena Linear Models
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Sprint Assessment Using Machine Learning and a Wearable Accelerometer.

Journal of applied biomechanics Feb 5, 2019
Field-based sprint performance assessments rely on metrics derived from a simple model of sprinting dynamics parameterized by 2 constants, v and τ, which indicate a sprinter's maximal theoretical velocity and the time it takes to approach v, respecti...
Machine Learning Running Female Male Athletic Performance Linear Models Adolescent Young Adult Accelerometry Wearable Electronic Devices Biomechanical Phenomena Humans
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Quantitative design rules for protein-resistant surface coatings using machine learning.

Scientific reports Jan 22, 2019
Preventing biological contamination (biofouling) is key to successful development of novel surface and nanoparticle-based technologies in the manufacturing industry and biomedicine. Protein adsorption is a crucial mediator of the interactions at the ...
Machine Learning Surface Properties Muramidase Biofouling Nanoparticles Polymers Models, Chemical Fibrinogen Equipment Design Datasets as Topic Immobilized Proteins Linear Models
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Fuzzy controller based E-nose classification of Sitophilus oryzae infestation in stored rice grain.

Food chemistry Jan 19, 2019
Fuzzy controller artmap based algorithms via E-nose selective metal oxides sensor (MOS) data was applied for classification of S. oryzae infestation in rice grains. The screened defuzzified data of selective sensors was further applied to detect S. o...
Oryza Uric Acid Linear Models Electronic Nose Plant Proteins Weevils Fuzzy Logic Principal Component Analysis Oxides Edible Grain Animals Metals
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A GIS-Based Artificial Neural Network Model for Spatial Distribution of Tuberculosis across the Continental United States.

International journal of environmental research and public health Jan 8, 2019
Despite the usefulness of artificial neural networks (ANNs) in the study of various complex problems, ANNs have not been applied for modeling the geographic distribution of tuberculosis (TB) in the US. Likewise, ecological level researches on TB inci...
Spatial Analysis Linear Models Neural Networks, Computer United States Geographic Information Systems Cluster Analysis Humans Tuberculosis
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A Machine Learning Approach to Predicting Case Duration for Robot-Assisted Surgery.

Journal of medical systems Jan 5, 2019
Robot-assisted surgery (RAS) requires a large capital investment by healthcare organizations. The cost of a robotic unit is fixed, so institutions must maximize use of each unit by utilizing all available operating room block time. One way to increas...
Sex Factors Efficiency, Organizational Linear Models Operating Rooms Age Factors Operative Time Robotic Surgical Procedures Neural Networks, Computer Machine Learning Female Comorbidity Severity of Illness Index Aged Male Humans
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Derivatization enhances analysis of estrogens and their bioactive metabolites in human plasma by liquid chromatography tandem mass spectrometry.

Analytica chimica acta Dec 21, 2018
Estrogens regulate many diverse biological processes in health and disease. They circulate at a wide range of concentrations in females generating several active metabolites (hydroxy and methoxyestrogens). The metabolites are assumed to be present in...
Linear Models Limit of Detection Blood Chemical Analysis Humans Tandem Mass Spectrometry Piperazine Estrogens Solid Phase Extraction Chromatography, Liquid
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An extensive experimental survey of regression methods.

Neural networks : the official journal of the International Neural Network Society Dec 21, 2018
Regression is a very relevant problem in machine learning, with many different available approaches. The current work presents a comparison of a large collection composed by 77 popular regression models which belong to 19 families: linear and general...
Machine Learning Bayes Theorem Humans Linear Models Surveys and Questionnaires Neural Networks, Computer
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Classification of needle-EMG resting potentials by machine learning.

Muscle & nerve Dec 18, 2018
INTRODUCTION: The diagnostic importance of audio signal characteristics in needle electromyography (EMG) is well established. Given the recent advent of audio-sound identification by artificial intelligence, we hypothesized that the extraction of cha...
Muscular Diseases Machine Learning Female Male Muscle, Skeletal Rest Signal Processing, Computer-Assisted Fourier Analysis Needles Humans Electromyography Evoked Potentials, Motor Linear Models
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