Humans

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Machine learning classification of first-episode schizophrenia spectrum disorders and controls using whole brain white matter fractional anisotropy.

BMC psychiatry Apr 10, 2018
BACKGROUND: Early diagnosis of schizophrenia could improve the outcome of the illness. Unlike classical between-group comparisons, machine learning can identify subtle disease patterns on a single subject level, which could help realize the potential...
Humans Brain Female Young Adult Support Vector Machine Schizophrenia Early Diagnosis White Matter Adult Male Case-Control Studies Diffusion Tensor Imaging Anisotropy
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Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data.

PLoS computational biology Apr 10, 2018
Artificial neural networks (ANN) are computing architectures with many interconnections of simple neural-inspired computing elements, and have been applied to biomedical fields such as imaging analysis and diagnosis. We have developed a new ANN frame...
Databases, Nucleic Acid Survival Analysis Proportional Hazards Models Kaplan-Meier Estimate Computational Biology Humans Neural Networks, Computer Neoplasms Prognosis Sequence Analysis, RNA Gene Expression Profiling Female Metabolic Networks and Pathways Gene Regulatory Networks Male High-Throughput Nucleotide Sequencing
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Ensemble of Rotation Trees for Imbalanced Medical Datasets.

Journal of healthcare engineering Apr 10, 2018
Medical datasets are often predominately composed of "normal" examples with only a small percentage of "abnormal" ones and how to correctly recognize the abnormal examples is very meaningful. However, conventional classification learning methods try ...
(1)
Humans Machine Learning Algorithms Databases, Factual Computational Biology Decision Trees
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A Machine Learning Approach to the Detection of Pilot's Reaction to Unexpected Events Based on EEG Signals.

Computational intelligence and neuroscience Apr 10, 2018
This work considers the problem of utilizing electroencephalographic signals for use in systems designed for monitoring and enhancing the performance of aircraft pilots. Systems with such capabilities are generally referred to as cognitive cockpits. ...
Pilots Machine Learning Humans Anticipation, Psychological Adult Brain Aircraft Young Adult Virtual Reality Attention Electroencephalography Visual Perception Signal Processing, Computer-Assisted
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Spatial extreme learning machines: An application on prediction of disease counts.

Statistical methods in medical research Apr 9, 2018
Extreme learning machines have gained a lot of attention by the machine learning community because of its interesting properties and computational advantages. With the increase in collection of information nowadays, many sources of data have missing ...
(1)
Lung Neoplasms Humans Brazil Bayes Theorem Machine Learning HIV Infections Monte Carlo Method Computer Simulation Incidence Demography
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Brain-Wide Genome-Wide Association Study for Alzheimer's Disease via Joint Projection Learning and Sparse Regression Model.

IEEE transactions on bio-medical engineering Apr 9, 2018
Brain-wide and genome-wide association (BW-GWA) study is presented in this paper to identify the associations between the brain imaging phenotypes (i.e., regional volumetric measures) and the genetic variants [i.e., single nucleotide polymorphism (SN...
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Machine Learning Databases, Factual Brain Genome-Wide Association Study Polymorphism, Single Nucleotide Computational Biology Magnetic Resonance Imaging Humans Regression Analysis Alzheimer Disease
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Runtime Programmable and Memory Bandwidth Optimized FPGA-Based Coprocessor for Deep Convolutional Neural Network.

IEEE transactions on neural networks and learning systems Apr 9, 2018
The deep convolutional neural network (DCNN) is a class of machine learning algorithms based on feed-forward artificial neural network and is widely used for image processing applications. Implementation of DCNN in real-world problems needs high comp...
Computer Simulation Machine Learning Models, Neurological Software Signal Processing, Computer-Assisted Algorithms Memory Humans Neural Networks, Computer
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Robust Regression Estimation Based on Low-Dimensional Recurrent Neural Networks.

IEEE transactions on neural networks and learning systems Apr 9, 2018
The robust Huber's M-estimator is widely used in signal and image processing, classification, and regression. From an optimization point of view, Huber's M-estimation problem is often formulated as a large-sized quadratic programming (QP) problem in ...
Models, Neurological Regression Analysis Signal Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Feasibility of a real-time hand hygiene notification machine learning system in outpatient clinics.

The Journal of hospital infection Apr 9, 2018
BACKGROUND: Various technologies have been developed to improve hand hygiene (HH) compliance in inpatient settings; however, little is known about the feasibility of machine learning technology for this purpose in outpatient clinics.
Guideline Adherence Ambulatory Care Facilities Machine Learning Cross Infection Pilot Projects Costs and Cost Analysis Humans Time Factors Hand Hygiene
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Complex analyses on clinical information systems using restricted natural language querying to resolve time-event dependencies.

Journal of biomedical informatics Apr 9, 2018
PURPOSE: This paper reports on a generic framework to provide clinicians with the ability to conduct complex analyses on elaborate research topics using cascaded queries to resolve internal time-event dependencies in the research questions, as an ext...
Liver Function Tests Acetaminophen Out-of-Hospital Cardiac Arrest Internet Fever Programming Languages Data Collection Medical Informatics Body Temperature Medical Records Systems, Computerized Time Factors Brain Injuries, Traumatic Language Liver Data Science Natural Language Processing User-Computer Interface Humans Software Algorithms
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