AIMC Topic: Humans

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Development of an intelligent decision support system for ischemic stroke risk assessment in a population-based electronic health record database.

PloS one Mar 13, 2019
BACKGROUND: Intelligent decision support systems (IDSS) have been applied to tasks of disease management. Deep neural networks (DNNs) are artificial intelligent techniques to achieve high modeling power. The application of DNNs to large-scale data fo...
Adult Male Middle Aged Risk Assessment Deep Learning Adolescent Humans Prognosis Retrospective Studies Brain Ischemia Incidence Datasets as Topic Electronic Health Records Decision Support Systems, Clinical Female Taiwan Young Adult
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Financial time series forecasting using twin support vector regression.

PloS one Mar 13, 2019
Financial time series forecasting is a crucial measure for improving and making more robust financial decisions throughout the world. Noisy data and non-stationarity information are the two key factors in financial time series prediction. This paper ...
Models, Economic Humans Investments Decision Making, Computer-Assisted Support Vector Machine Regression Analysis Financial Management Forecasting Databases, Factual Time Factors
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Harnessing the Power of Machine Learning in Dementia Informatics Research: Issues, Opportunities, and Challenges.

IEEE reviews in biomedical engineering Mar 12, 2019
Dementia is a chronic and degenerative condition affecting millions globally. The care of patients with dementia presents an ever-continuing challenge to healthcare systems in the 21st century. Medical and health sciences have generated unprecedented...
Medical Informatics Neuroimaging Mental Status and Dementia Tests Biomedical Research Dementia Natural Language Processing Humans Machine Learning
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Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification.

IEEE transactions on neural networks and learning systems Mar 12, 2019
Video-based person re-identification (re-id) matches two tracks of persons from different cameras. Features are extracted from the images of a sequence and then aggregated as a track feature. Compared to existing works that aggregate frame features b...
Humans Neural Networks, Computer Image Processing, Computer-Assisted Video Recording Pattern Recognition, Automated Reinforcement, Psychology
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Sleep staging from single-channel EEG with multi-scale feature and contextual information.

Sleep & breathing = Schlaf & Atmung Mar 12, 2019
PURPOSE: Portable sleep monitoring devices with less-attached sensors and high-accuracy sleep staging methods can expedite sleep disorder diagnosis. The aim of this study was to propose a single-channel EEG sleep staging model, SleepStageNet, which e...
Sleep Stages Electroencephalography Feasibility Studies Polysomnography Adult Male Middle Aged Female Humans Aged Neural Networks, Computer
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Machine learning on adverse drug reactions for pharmacovigilance.

Drug discovery today Mar 12, 2019
Machine learning, especially deep learning, has the predictive power to predict adverse drug reactions, repurpose drugs and perform precision medicine. We provide a background of machine learning and propose a potential high-performance deep learning...
Pharmacovigilance Humans Machine Learning Drug-Related Side Effects and Adverse Reactions
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Intact metabolite spectrum mining by deep learning in proton magnetic resonance spectroscopy of the brain.

Magnetic resonance in medicine Mar 12, 2019
PURPOSE: To develop a robust method for brain metabolite quantification in proton magnetic resonance spectroscopy ( H-MRS) using a convolutional neural network (CNN) that maps in vivo brain spectra that are typically degraded by low SNR, line broaden...
Humans Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Amino Acids Young Adult Male Deep Learning Proton Magnetic Resonance Spectroscopy Protons gamma-Aminobutyric Acid Brain Chemistry Phantoms, Imaging
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Dynamic MRI using model-based deep learning and SToRM priors: MoDL-SToRM.

Magnetic resonance in medicine Mar 12, 2019
PURPOSE: To introduce a novel framework to combine deep-learned priors along with complementary image regularization penalties to reconstruct free breathing & ungated cardiac MRI data from highly undersampled multi-channel measurements.
Algorithms Respiration Databases, Factual Deep Learning Cardiac Imaging Techniques Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Heart
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MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR parameter mapping.

Magnetic resonance in medicine Mar 12, 2019
PURPOSE: To develop and evaluate a novel deep learning-based image reconstruction approach called MANTIS (Model-Augmented Neural neTwork with Incoherent k-space Sampling) for efficient MR parameter mapping.
Neural Networks, Computer Algorithms Female Humans Deep Learning Image Processing, Computer-Assisted Aged Magnetic Resonance Imaging Male Knee Joint Middle Aged
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A deep neural network improves endoscopic detection of early gastric cancer without blind spots.

Endoscopy Mar 12, 2019
BACKGROUND: Gastric cancer is the third most lethal malignancy worldwide. A novel deep convolution neural network (DCNN) to perform visual tasks has been recently developed. The aim of this study was to build a system using the DCNN to detect early g...
Gastroscopy Early Detection of Cancer Diagnosis, Differential Observer Variation Humans Neural Networks, Computer Stomach Neoplasms Sensitivity and Specificity Clinical Competence
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