AIMC Topic: Neural Networks, Computer

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Estimation theory and Neural Networks revisited: REKF and RSVSF as optimization techniques for Deep-Learning.

Neural networks : the official journal of the International Neural Network Society Oct 3, 2018
Deep-Learning has become a leading strategy for artificial intelligence and is being applied in many fields due to its excellent performance that has surpassed human cognitive abilities in a number of classification and control problems (Ciregan, Mei...
Deep Learning Computing Methodologies Humans Neural Networks, Computer Artificial Intelligence Algorithms
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Detecting drug-resistant tuberculosis in chest radiographs.

International journal of computer assisted radiology and surgery Oct 3, 2018
PURPOSE: Tuberculosis is a major global health threat claiming millions of lives each year. While the total number of tuberculosis cases has been decreasing over the last years, the rise of drug-resistant tuberculosis has reduced the chance of contro...
Middle Aged Pilot Projects ROC Curve Probability Radiography, Thoracic Diagnosis, Differential Tuberculosis, Multidrug-Resistant Tomography, X-Ray Computed Female Male Humans Neural Networks, Computer Machine Learning
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Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials.

Journal of neural engineering Oct 3, 2018
OBJECTIVE: Steady-state visual evoked potentials (SSVEPs) are neural oscillations from the parietal and occipital regions of the brain that are evoked from flickering visual stimuli. SSVEPs are robust signals measurable in the electroencephalogram (E...
Humans Neural Networks, Computer Adult Electroencephalography Signal Processing, Computer-Assisted Healthy Volunteers Machine Learning Algorithms Reproducibility of Results Visual Cortex Brain-Computer Interfaces Evoked Potentials, Visual Photic Stimulation
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Predictive models for charitable giving using machine learning techniques.

PloS one Oct 3, 2018
Private giving represents more than three fourths of all U.S. charitable donations, about 2% of total Gross Domestic Product (GDP). Private giving is a significant factor in funding the nonprofit sector of the U.S. economy, which accounts for more th...
Data Accuracy Humans United States Charities Linear Models Neural Networks, Computer Socioeconomic Factors Demography Machine Learning Models, Economic
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Hypergraph-Induced Convolutional Networks for Visual Classification.

IEEE transactions on neural networks and learning systems Oct 2, 2018
At present, convolutional neural networks (CNNs) have become popular in visual classification tasks because of their superior performance. However, CNN-based methods do not consider the correlation of visual data to be classified. Recently, graph con...
Humans Pattern Recognition, Automated Photic Stimulation Neural Networks, Computer Algorithms
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3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.

Cancer research Oct 2, 2018
: Identification of early-stage pulmonary adenocarcinomas before surgery, especially in cases of subcentimeter cancers, would be clinically important and could provide guidance to clinical decision making. In this study, we developed a deep learning ...
Diagnosis, Computer-Assisted Deep Learning Adolescent Imaging, Three-Dimensional Adult Prognosis Male Retrospective Studies Middle Aged Tomography, X-Ray Computed Neoplasm Invasiveness Aged, 80 and over Decision Making Young Adult Humans Area Under Curve Female Mutation Aged Neural Networks, Computer Image Processing, Computer-Assisted Precision Medicine Lung Neoplasms Adenocarcinoma
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Towards automated clinical coding.

International journal of medical informatics Oct 2, 2018
BACKGROUND: Patients' encounters with healthcare services must undergo clinical coding. These codes are typically derived from free-text notes. Manual clinical coding is expensive, time-consuming and prone to error. Automated clinical coding systems ...
Neural Networks, Computer Electronic Health Records Pattern Recognition, Automated International Classification of Diseases Clinical Coding Humans
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Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Oct 2, 2018
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder with progressive impairment of memory and cognitive functions. Structural magnetic resonance images (MRI) play important role to evaluate the brain anatomical changes for AD Diagn...
Humans Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted Alzheimer Disease
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Diagnosis of urinary tract infection based on artificial intelligence methods.

Computer methods and programs in biomedicine Oct 2, 2018
BACKGROUND AND OBJECTIVE: Urinary tract infection (UTI) is a common disease affecting the vast majority of people. UTI involves a simple infection caused by urinary tract inflammation as well as a complicated infection that may be caused by an inflam...
Aged False Positive Reactions Neural Networks, Computer Young Adult Cystitis Adolescent Adult Artificial Intelligence Male Support Vector Machine Child Middle Aged Sensitivity and Specificity Humans Decision Trees Machine Learning ROC Curve Diagnosis, Computer-Assisted Urinary Tract Infections Algorithms Decision Support Systems, Clinical Female
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Artificial Intelligence in Drug Design.

Molecules (Basel, Switzerland) Oct 2, 2018
Artificial Intelligence (AI) plays a pivotal role in drug discovery. In particular artificial neural networks such as deep neural networks or recurrent networks drive this area. Numerous applications in property or activity predictions like physicoch...
Drug Discovery Quantitative Structure-Activity Relationship Humans Neural Networks, Computer Artificial Intelligence
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