Humans

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Drug Repositioning for Schizophrenia and Depression/Anxiety Disorders: A Machine Learning Approach Leveraging Expression Data.

IEEE journal of biomedical and health informatics Jul 16, 2018
Development of new medications is a lengthy and costly process, and drug repositioning might help to shorten the development cycle. We present a machine learning (ML) workflow to drug discovery or repositioning by predicting indication for a particul...
Drug Repositioning Humans Machine Learning Mental Disorders Computational Biology Support Vector Machine
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Artificial intelligence and machine learning in emergency medicine.

Emergency medicine Australasia : EMA Jul 16, 2018
Interest in artificial intelligence (AI) research has grown rapidly over the past few years, in part thanks to the numerous successes of modern machine learning techniques such as deep learning, the availability of large datasets and improvements in ...
Precision Medicine Outcome Assessment, Health Care Emergency Medicine Humans Machine Learning
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Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms.

Statistics in medicine Jul 16, 2018
With the advancement in drug development, multiple treatments are available for a single disease. Patients can often benefit from taking multiple treatments simultaneously. For example, patients in Clinical Practice Research Datalink with chronic dis...
(1)
Decision Support Techniques Precision Medicine Stochastic Processes Treatment Outcome Humans Models, Statistical Machine Learning Drug Therapy, Combination Algorithms Statistics as Topic
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Abnormal Low-Frequency Oscillations Reflect Trait-Like Pain Ratings in Chronic Pain Patients Revealed through a Machine Learning Approach.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 16, 2018
Measures of moment-to-moment fluctuations in brain activity of an individual at rest have been shown to be a sensitive and reliable metric for studying pathological brain mechanisms across various chronic pain patient populations. However, the relati...
(1)
Somatosensory Cortex Spondylitis, Ankylosing Thalamus Chronic Pain Biological Clocks Magnetic Resonance Imaging Brain Mapping Sex Characteristics Humans Rest Connectome Machine Learning Gyrus Cinguli Female Middle Aged Young Adult Functional Neuroimaging Adolescent Adult Male
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Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk.

Nature genetics Jul 16, 2018
Key challenges for human genetics, precision medicine and evolutionary biology include deciphering the regulatory code of gene expression and understanding the transcriptional effects of genome variation. However, this is extremely difficult because ...
Computer Simulation Deep Learning Genome-Wide Association Study Genetic Predisposition to Disease Polymorphism, Single Nucleotide Models, Genetic Quantitative Trait Loci Humans Algorithms Gene Expression Mutation Promoter Regions, Genetic
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Causal Discovery Combining K2 with Brain Storm Optimization Algorithm.

Molecules (Basel, Switzerland) Jul 16, 2018
Exploring and detecting the causal relations among variables have shown huge practical values in recent years, with numerous opportunities for scientific discovery, and have been commonly seen as the core of data science. Among all possible causal di...
Algorithms Models, Theoretical Humans Machine Learning
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CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images.

Biomedical engineering online Jul 16, 2018
BACKGROUND: Early and automatic detection of pulmonary nodules from CT lung screening is the prerequisite for precise management of lung cancer. However, a large number of false positives appear in order to increase the sensitivity, especially for de...
(1)
Humans Lung Image Processing, Computer-Assisted Lung Neoplasms Neural Networks, Computer Databases, Factual Tomography, X-Ray Computed False Positive Reactions
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CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata.

BMC bioinformatics Jul 16, 2018
BACKGROUND: Public biomedical data repositories often provide web-based interfaces to collect experimental metadata. However, these interfaces typically reflect the ad hoc metadata specification practices of the associated repositories, leading to a ...
Biological Ontologies Algorithms Humans Internet Software Metadata
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Computed tomography super-resolution using deep convolutional neural network.

Physics in medicine and biology Jul 16, 2018
The objective of this study is to develop a convolutional neural network (CNN) for computed tomography (CT) image super-resolution. The network learns an end-to-end mapping between low (thick-slice thickness) and high (thin-slice thickness) resolutio...
(3)
Tomography, X-Ray Computed Female Aged Parkinson Disease Male Radiation Dosage Humans Deep Learning Signal-To-Noise Ratio Image Processing, Computer-Assisted Neural Networks, Computer
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Classification of Computed Tomography Images in Different Slice Positions Using Deep Learning.

Journal of healthcare engineering Jul 16, 2018
This study aimed at elucidating the relationship between the number of computed tomography (CT) images, including data concerning the accuracy of models and contrast enhancement for classifying the images. We enrolled 1539 patients who underwent cont...
Torso Aged Brain Humans Adult Tomography, X-Ray Computed Middle Aged Databases, Factual Male Female Deep Learning Image Processing, Computer-Assisted
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