AIMC Topic: Datasets as Topic

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Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 23, 2016
BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent behavioral disorders in childhood and adolescence. Recently, network-based diagnosis of ADHD has attracted great attentions due to the fact that ADHD disease is ...
Support Vector Machine Principal Component Analysis Datasets as Topic Pattern Recognition, Automated Male Case-Control Studies Child Attention Deficit Disorder with Hyperactivity Humans Brain Female Sensitivity and Specificity
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Hybrid EANN-EA System for the Primary Estimation of Cardiometabolic Risk.

Journal of medical systems Apr 22, 2016
The most important part of the early prevention of atherosclerosis and cardiovascular diseases is the estimation of the cardiometabolic risk (CMR). The CMR estimation can be divided into two phases. The first phase is called primary estimation of CMR...
Aged Young Adult Adult Cardiovascular Diseases Humans Neural Networks, Computer Algorithms Datasets as Topic Middle Aged Risk Assessment Adolescent
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Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans.

Scientific reports Apr 15, 2016
This paper performs a comprehensive study on the deep-learning-based computer-aided diagnosis (CADx) for the differential diagnosis of benign and malignant nodules/lesions by avoiding the potential errors caused by inaccurate image processing results...
Tomography, X-Ray Computed Ultrasonography Humans Female Solitary Pulmonary Nodule Machine Learning Reproducibility of Results Breast Algorithms Diagnosis, Computer-Assisted Datasets as Topic
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Demixed principal component analysis of neural population data.

eLife Apr 12, 2016
Neurons in higher cortical areas, such as the prefrontal cortex, are often tuned to a variety of sensory and motor variables, and are therefore said to display mixed selectivity. This complexity of single neuron responses can obscure what information...
Decision Making Principal Component Analysis Memory, Short-Term Reward Animals Prefrontal Cortex Rats Datasets as Topic Task Performance and Analysis Olfactory Perception Multifactor Dimensionality Reduction Macaca mulatta Spatial Navigation Sensory Receptor Cells Motor Neurons
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Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.

International journal of neural systems Apr 11, 2016
Effective common spatial pattern (CSP) feature extraction for motor imagery (MI) electroencephalogram (EEG) recordings usually depends on the filter band selection to a large extent. Subband optimization has been suggested to enhance classification a...
Brain-Computer Interfaces Motor Activity Imagination Discriminant Analysis Electroencephalography Datasets as Topic Linear Models Brain Time Factors Bayes Theorem Humans Machine Learning Algorithms
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Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.

International journal of neural systems Apr 4, 2016
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. This paper explores the constr...
Humans Brain Female Aged Male Disease Progression Image Interpretation, Computer-Assisted Unsupervised Machine Learning Cognitive Dysfunction Gray Matter Area Under Curve Datasets as Topic ROC Curve Alzheimer Disease Imaging, Three-Dimensional Early Diagnosis Positron-Emission Tomography Pattern Recognition, Automated
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A new Growing Neural Gas for clustering data streams.

Neural networks : the official journal of the International Neural Network Society Feb 26, 2016
Clustering data streams is becoming the most efficient way to cluster a massive dataset. This task requires a process capable of partitioning observations continuously with restrictions of memory and time. In this paper we present a new algorithm, ca...
Statistics as Topic Algorithms Memory Databases, Factual Cluster Analysis Humans Datasets as Topic Neural Networks, Computer
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Modeling Disease Progression via Multisource Multitask Learners: A Case Study With Alzheimer's Disease.

IEEE transactions on neural networks and learning systems Feb 24, 2016
Understanding the progression of chronic diseases can empower the sufferers in taking proactive care. To predict the disease status in the future time points, various machine learning approaches have been proposed. However, a few of them jointly cons...
Neuroimaging Time Factors Alzheimer Disease Humans Datasets as Topic Machine Learning Linear Models Neural Networks, Computer Algorithms Disease Progression
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Texture Descriptors Ensembles Enable Image-Based Classification of Maturation of Human Stem Cell-Derived Retinal Pigmented Epithelium.

PloS one Feb 19, 2016
AIMS: A fast, non-invasive and observer-independent method to analyze the homogeneity and maturity of human pluripotent stem cell (hPSC) derived retinal pigment epithelial (RPE) cells is warranted to assess the suitability of hPSC-RPE cells for impla...
Cell Line Reproducibility of Results Humans Area Under Curve Animals Cell Differentiation Algorithms Stem Cells Male Datasets as Topic Female Support Vector Machine Retinal Pigment Epithelium
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Natural Language Search Interfaces: Health Data Needs Single-Field Variable Search.

Journal of medical Internet research Jan 14, 2016
BACKGROUND: Data discovery, particularly the discovery of key variables and their inter-relationships, is key to secondary data analysis, and in-turn, the evolving field of data science. Interface designers have presumed that their users are domain e...
Information Storage and Retrieval Search Engine Natural Language Processing Internet User-Computer Interface Datasets as Topic
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