Humans

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Human Motion Recognition by Textile Sensors Based on Machine Learning Algorithms.

Sensors (Basel, Switzerland) Sep 14, 2018
Wearable sensors for human physiological monitoring have attracted tremendous interest from researchers in recent years. However, most of the research involved simple trials without any significant analytical algorithms. This study provides a way of ...
Wearable Electronic Devices Nanotubes, Carbon Movement Textiles Humans Machine Learning Adult Male
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Recognition of Schizophrenia with Regularized Support Vector Machine and Sequential Region of Interest Selection using Structural Magnetic Resonance Imaging.

Scientific reports Sep 14, 2018
Structural brain abnormalities in schizophrenia have been well characterized with the application of univariate methods to magnetic resonance imaging (MRI) data. However, these traditional techniques lack sensitivity and predictive value at the indiv...
Gray Matter Adult Male Case-Control Studies Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Schizophrenia Humans Female
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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 14, 2018
BACKGROUND: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction ...
Databases, Factual Female Reproducibility of Results Aged Humans Neural Networks, Computer Deep Learning Predictive Value of Tests Heart Diseases Image Interpretation, Computer-Assisted Male Ventricular Function, Left Stroke Volume Middle Aged Ventricular Function, Right Myocardial Contraction Observer Variation Automation Magnetic Resonance Imaging, Cine
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Improving classification of pollen grain images of the POLEN23E dataset through three different applications of deep learning convolutional neural networks.

PloS one Sep 14, 2018
In palynology, the visual classification of pollen grains from different species is a hard task which is usually tackled by human operators using microscopes. Its complete automatization would save a high quantity of resources and provide valuable im...
Databases, Factual Image Processing, Computer-Assisted Humans Pollen Neural Networks, Computer Machine Learning
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Detection of Colorectal Carcinoma Based on Microbiota Analysis Using Generalized Regression Neural Networks and Nonlinear Feature Selection.

IEEE/ACM transactions on computational biology and bioinformatics Sep 13, 2018
To obtain a screening tool for colorectal cancer (CRC) based on gut microbiota, we seek here to identify an optimal classifier for CRC detection as well as a novel nonlinear feature selection method for determining the most discriminative microbial s...
Humans Neural Networks, Computer Machine Learning Colorectal Neoplasms Algorithms Feces Male Female Bacteria Middle Aged Aged Gastrointestinal Microbiome Diagnosis, Computer-Assisted Metagenome
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Serum vitamin D deficiency and vitamin D receptor gene polymorphism are associated with increased risk of cardiovascular disease in a Chinese rural population.

Nutrition research (New York, N.Y.) Sep 13, 2018
Several studies have reported a conflicting association between vitamin D deficiency, vitamin D receptor (VDR) polymorphism, and the risk of cardiovascular disease (CVD). We hypothesized that serum 25(OH)D concentrations and single nucleotide polymor...
Middle Aged Polymorphism, Single Nucleotide Alleles China Aged Genotype Humans Asian People Blood Glucose Adult Logistic Models Haplotypes Biomarkers Male Rural Population Gene Frequency Vitamin D Female Cardiovascular Diseases Triglycerides Receptors, Calcitriol Vitamin D Deficiency
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The application of convolution neural network based cell segmentation during cryopreservation.

Cryobiology Sep 13, 2018
For most of the cells, water permeability and plasma membrane properties play a vital role in the optimal protocol for successful cryopreservation. Measuring the water permeability of cells during subzero temperature is essential. So far, there is no...
Freezing Ice Humans Cryopreservation Neural Networks, Computer Algorithms Microscopy Image Processing, Computer-Assisted HeLa Cells
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Comparison of logistic regression, support vector machines, and deep learning classifiers for predicting memory encoding success using human intracranial EEG recordings.

Journal of neural engineering Sep 13, 2018
OBJECTIVE: We sought to test the performance of three strategies for binary classification (logistic regression, support vector machines, and deep learning) for the problem of predicting successful episodic memory encoding using direct brain recordin...
Algorithms Computer Simulation Deep Learning Logistic Models Humans Memory, Episodic Mental Recall Electrodes, Implanted Support Vector Machine Theta Rhythm Predictive Value of Tests Electroencephalography Stochastic Processes
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Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities.

Journal of biomechanics Sep 13, 2018
Traditional laboratory experiments, rehabilitation clinics, and wearable sensors offer biomechanists a wealth of data on healthy and pathological movement. To harness the power of these data and make research more efficient, modern machine learning t...
Machine Learning Biomechanical Phenomena Movement Humans
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G2Vec: Distributed gene representations for identification of cancer prognostic genes.

Scientific reports Sep 13, 2018
Identification of cancer prognostic genes is important in that it can lead to accurate outcome prediction and better therapeutic trials for cancer patients. Many computational approaches have been proposed to achieve this goal; however, there is room...
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Prognosis Computational Biology Biomarkers, Tumor Oncogenes Humans Neoplasms Algorithms Gene Expression Profiling Deep Learning Carcinoma, Hepatocellular Gene Regulatory Networks
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