Humans

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Re: Pediatric Robot-Assisted Redo Pyeloplasty with Buccal Mucosa Graft: A Novel Technique.

The Journal of urology Sep 12, 2017
Mouth Mucosa Robotics Ureter Kidney Pelvis Humans Child
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Robust spike-train learning in spike-event based weight update.

Neural networks : the official journal of the International Neural Network Society Sep 12, 2017
Supervised learning algorithms in a spiking neural network either learn a spike-train pattern for a single neuron receiving input spike-train from multiple input synapses or learn to output the first spike time in a feedforward network setting. In th...
(1)
Synapses Action Potentials Supervised Machine Learning Humans Neurons Neural Networks, Computer Algorithms Models, Neurological
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Development of a Natural Language Processing Engine to Generate Bladder Cancer Pathology Data for Health Services Research.

Urology Sep 12, 2017
OBJECTIVE: To take the first step toward assembling population-based cohorts of patients with bladder cancer with longitudinal pathology data, we developed and validated a natural language processing (NLP) engine that abstracts pathology data from fu...
Natural Language Processing Electronic Data Processing Health Services Research Humans Urinary Bladder Neoplasms
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Computerized Bone Age Estimation Using Deep Learning Based Program: Evaluation of the Accuracy and Efficiency.

AJR. American journal of roentgenology Sep 12, 2017
OBJECTIVE: The purpose of this study is to evaluate the accuracy and efficiency of a new automatic software system for bone age assessment and to validate its feasibility in clinical practice.
Humans Neural Networks, Computer Software Adolescent Child, Preschool Child Retrospective Studies Female Male Feasibility Studies Age Determination by Skeleton
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Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks.

Journal of computational neuroscience Sep 12, 2017
Correlated neural activities such as synchronizations can significantly alter the characteristics of spike transfer between neural layers. However, it is not clear how this synchronization-dependent spike transfer can be affected by the structure of ...
Normal Distribution Animals Synaptic Transmission Models, Neurological Action Potentials Neurons Synapses Nerve Net Humans Neural Networks, Computer Computer Simulation
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Automated Analysis of Unregistered Multi-View Mammograms With Deep Learning.

IEEE transactions on medical imaging Sep 12, 2017
We describe an automated methodology for the analysis of unregistered cranio-caudal (CC) and medio-lateral oblique (MLO) mammography views in order to estimate the patient's risk of developing breast cancer. The main innovation behind this methodolog...
Breast Neoplasms ROC Curve Imaging, Three-Dimensional Machine Learning Databases, Factual Female Mammography Radiographic Image Interpretation, Computer-Assisted Breast Humans
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Enhancing Seasonal Influenza Surveillance: Topic Analysis of Widely Used Medicinal Drugs Using Twitter Data.

Journal of medical Internet research Sep 12, 2017
BACKGROUND: Uptake of medicinal drugs (preventive or treatment) is among the approaches used to control disease outbreaks, and therefore, it is of vital importance to be aware of the counts or frequencies of most commonly used drugs and trending topi...
(1)
Influenza, Human Drug Therapy Humans Machine Learning Public Health Disease Outbreaks Social Media
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A novel and reliable computational intelligence system for breast cancer detection.

Medical & biological engineering & computing Sep 11, 2017
Cancer is the second important morbidity and mortality factor among women and the most incident type is breast cancer. This paper suggests a hybrid computational intelligence model based on unsupervised and supervised learning techniques, i.e., self-...
Humans Models, Theoretical Artificial Intelligence Early Detection of Cancer Female Decision Making Reproducibility of Results Breast Neoplasms ROC Curve
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Nonlinear Semi-Supervised Metric Learning Via Multiple Kernels and Local Topology.

International journal of neural systems Sep 11, 2017
Changing the metric on the data may change the data distribution, hence a good distance metric can promote the performance of learning algorithm. In this paper, we address the semi-supervised distance metric learning (ML) problem to obtain the best n...
Nonlinear Dynamics Pattern Recognition, Automated Humans Cluster Analysis Artificial Intelligence Algorithms Supervised Machine Learning Computer Simulation
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Depression recognition according to heart rate variability using Bayesian Networks.

Journal of psychiatric research Sep 11, 2017
BACKGROUND: Doctors mainly use scale tests and subjective judgment in the clinical diagnosis of depression. Researches have demonstrated that depression is associated with the dysfunction of the autonomic nervous system (ANS), where its modulation ca...
Young Adult Adult Sensitivity and Specificity Bayes Theorem Heart Rate Depressive Disorder Neural Networks, Computer Female Reproducibility of Results Humans Autonomic Nervous System
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