Humans

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DRMDA: deep representations-based miRNA-disease association prediction.

Journal of cellular and molecular medicine Aug 31, 2017
Recently, microRNAs (miRNAs) are confirmed to be important molecules within many crucial biological processes and therefore related to various complex human diseases. However, previous methods of predicting miRNA-disease associations have their own d...
Computational Biology MicroRNAs Neoplasms Deep Learning Genetic Association Studies Humans Algorithms
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Getting RID of the blues: Formulating a Risk Index for Depression (RID) using structural equation modeling.

The Australian and New Zealand journal of psychiatry Aug 31, 2017
OBJECTIVE: While risk factors for depression are increasingly known, there is no widely utilised depression risk index. Our objective was to develop a method for a flexible, modular, Risk Index for Depression using structural equation models of key d...
Humans Machine Learning Patient Health Questionnaire Risk Assessment Models, Statistical Depressive Disorder
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Identification and segmentation of myelinated nerve fibers in a cross-sectional optical microscopic image using a deep learning model.

Journal of neuroscience methods Aug 31, 2017
BACKGROUND: The morphometric analysis of myelinated nerve fibers of peripheral nerves in cross-sectional optical microscopic images is valuable. Several automated methods for nerve fiber identification and segmentation have been reported. This paper ...
Humans Machine Learning Female Microscopy Pattern Recognition, Automated Sural Nerve Nerve Fibers, Myelinated Middle Aged Adolescent Image Processing, Computer-Assisted Biopsy Aged Adult Male
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Accurate Identification of Fatty Liver Disease in Data Warehouse Utilizing Natural Language Processing.

Digestive diseases and sciences Aug 31, 2017
INTRODUCTION: Natural language processing is a powerful technique of machine learning capable of maximizing data extraction from complex electronic medical records.
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Humans Algorithms Databases, Factual Electronic Health Records Ultrasonography Prognosis Tomography, X-Ray Computed Veterans Health Predictive Value of Tests Data Mining Fatty Liver Natural Language Processing United States Department of Veterans Affairs United States Magnetic Resonance Imaging
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Fully automatic, multiorgan segmentation in normal whole body magnetic resonance imaging (MRI), using classification forests (CFs), convolutional neural networks (CNNs), and a multi-atlas (MA) approach.

Medical physics Aug 31, 2017
PURPOSE: As part of a program to implement automatic lesion detection methods for whole body magnetic resonance imaging (MRI) in oncology, we have developed, evaluated, and compared three algorithms for fully automatic, multiorgan segmentation in hea...
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Male Middle Aged Image Processing, Computer-Assisted Magnetic Resonance Imaging Aged Young Adult Adult Neural Networks, Computer Automation Female Whole Body Imaging Humans
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Deep learning of the sectional appearances of 3D CT images for anatomical structure segmentation based on an FCN voting method.

Medical physics Aug 31, 2017
PURPOSE: We propose a single network trained by pixel-to-label deep learning to address the general issue of automatic multiple organ segmentation in three-dimensional (3D) computed tomography (CT) images. Our method can be described as a voxel-wise ...
Machine Learning Tomography, X-Ray Computed Lung Imaging, Three-Dimensional Humans
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Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach.

Scientific reports Aug 31, 2017
We developed and independently validated a rheumatoid arthritis (RA) mortality prediction model using the machine learning method Random Survival Forests (RSF). Two independent cohorts from Madrid (Spain) were used: the Hospital Clínico San Carlos RA...
Longitudinal Studies Spain Blood Sedimentation Cohort Studies Arthritis, Rheumatoid Models, Theoretical Humans Machine Learning Male Middle Aged Female Aged
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Identification of autism spectrum disorder using deep learning and the ABIDE dataset.

NeuroImage. Clinical Aug 30, 2017
The goal of the present study was to apply deep learning algorithms to identify autism spectrum disorder (ASD) patients from large brain imaging dataset, based solely on the patients brain activation patterns. We investigated ASD patients brain imagi...
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Rest Neural Pathways Image Processing, Computer-Assisted Brain Mapping Datasets as Topic Young Adult Autism Spectrum Disorder Adult Case-Control Studies Adolescent Brain Humans Male Functional Neuroimaging Female Child Neural Networks, Computer Machine Learning
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Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project).

The American journal of cardiology Aug 30, 2017
Previous studies have demonstrated that cardiorespiratory fitness is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques that classify the data into predetermined ca...
Exercise Test Humans Exercise Tolerance Machine Learning Cardiorespiratory Fitness Female Algorithms Michigan Male Forecasting Risk Assessment Cardiovascular Diseases Retrospective Studies Predictive Value of Tests Middle Aged Cause of Death
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Novel Method Proposing Chemical Structures with Desirable Profile of Activities Based on Chemical and Protein Spaces.

Molecular informatics Aug 30, 2017
Active molecules among numerous chemical structures in a chemical database can be searched easily by statistical prediction of compound-protein interactions. However, constructing a simple prediction model against one protein does not aid drug design...
Humans Neural Networks, Computer Drug Design Protein Kinases Databases, Chemical
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