AIMC Topic: Neural Networks, Computer

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SmartHeLP: Smartphone-based Hemoglobin Level Prediction Using an Artificial Neural Network.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Blood hemoglobin level (Hgb) measurement has a vital role in the diagnosis, evaluation, and management of numerous diseases. We describe the use of smartphone video imaging and an artificial neural network (ANN) system to estimate Hgb levels non-inva...
Young Adult Adult Sensitivity and Specificity Neural Networks, Computer Female Datasets as Topic Spectrum Analysis Regression Analysis Hemoglobins Humans Video Recording Male Middle Aged Smartphone
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An Interpretable ICU Mortality Prediction Model Based on Logistic Regression and Recurrent Neural Networks with LSTM units.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Most existing studies used logistic regression to establish scoring systems to predict intensive care unit (ICU) mortality. Machine learning-based approaches can achieve higher prediction accuracy but, unlike the scoring systems, frequently cannot pr...
Machine Learning Hospitalization Humans Logistic Models Prognosis Neural Networks, Computer Risk Assessment Databases, Genetic Intensive Care Units Hospital Mortality
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Finding medication doses in the liteature.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Medication doses, one of the determining factors in medication safety and effectiveness, are present in the literature, but only in free-text form. We set out to determine if the systems developed for extracting drug prescription information from cli...
Pharmaceutical Preparations PubMed Information Storage and Retrieval Drug Dosage Calculations Drug Administration Schedule Humans Drug Administration Routes Neural Networks, Computer Deep Learning
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Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition.

PloS one Dec 5, 2018
Pneumonia is one of the major causes of child mortality, yet with a timely diagnosis, it is usually curable with antibiotic therapy. In many developing regions, diagnosing pneumonia remains a challenge, due to shortages of medical resources. Lung ult...
Child, Preschool Child Male Humans Infant Ultrasonography Image Processing, Computer-Assisted Neural Networks, Computer Lung Pneumonia
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Predicting posterior urethral obstruction in boys with lower urinary tract symptoms using deep artificial neural network.

World journal of urology Dec 4, 2018
PURPOSE: To assess the prediction model for late-presenting posterior urethral valve (PUV) in boys with lower urinary tract symptoms (LUTS) using artificial neural network (ANN).
Neural Networks, Computer Retrospective Studies Male Humans Predictive Value of Tests Lower Urinary Tract Symptoms Urethral Obstruction Adolescent Child, Preschool Child
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A comparison of deep networks with ReLU activation function and linear spline-type methods.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2018
Deep neural networks (DNNs) generate much richer function spaces than shallow networks. Since the function spaces induced by shallow networks have several approximation theoretic drawbacks, this explains, however, not necessarily the success of deep ...
Biometry Neural Networks, Computer Machine Learning Humans
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What Can We Learn from the RSNA Pediatric Bone Age Machine Learning Challenge?

Radiology Dec 4, 2018
Machine Learning Child Humans Neural Networks, Computer
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Adverse Drug Reaction Predictions Using Stacking Deep Heterogeneous Information Network Embedding Approach.

Molecules (Basel, Switzerland) Dec 4, 2018
Inferring potential adverse drug reactions is an important and challenging task for the drug discovery and healthcare industry. Many previous studies in computational pharmacology have proposed utilizing multi-source drug information to predict drug ...
Drug-Related Side Effects and Adverse Reactions Neural Networks, Computer Machine Learning Algorithms Drug Discovery
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Self-limited single nanowire systems combining all-in-one memristive and neuromorphic functionalities.

Nature communications Dec 4, 2018
The ability for artificially reproducing human brain type signals' processing is one of the main challenges in modern information technology, being one of the milestones for developing global communicating networks and artificial intelligence. Electr...
Memory Equipment Design Nanowires Zinc Oxide Volatilization Electrodes Brain Synapses Humans Electronics Neuronal Plasticity Silver Compounds Neural Networks, Computer Nanotechnology Models, Neurological Electrochemistry Biomimetics
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DoseNet: a volumetric dose prediction algorithm using 3D fully-convolutional neural networks.

Physics in medicine and biology Dec 4, 2018
The goal of this study is to demonstrate the feasibility of a novel fully-convolutional volumetric dose prediction neural network (DoseNet) and test its performance on a cohort of prostate stereotactic body radiotherapy (SBRT) patients. DoseNet is su...
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Radiosurgery Humans Neural Networks, Computer Algorithms
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