Humans

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Towards a new classification of stable phase schizophrenia into major and simple neuro-cognitive psychosis: Results of unsupervised machine learning analysis.

Journal of evaluation in clinical practice May 23, 2018
RATIONALE: Deficit schizophrenia, as defined by the Schedule for Deficit Syndrome, may represent a distinct diagnostic class defined by neurocognitive impairments coupled with changes in IgA/IgM responses to tryptophan catabolites (TRYCATs). Adequate...
Schizophrenic Psychology Behavioral Symptoms Cognitive Reserve Neurocognitive Disorders Neuroimmunomodulation Patient Acuity Schizophrenia Psychotic Disorders Tryptophan Psychiatric Status Rating Scales Inflammation Unsupervised Machine Learning Humans Cytokines Female Adult Male Middle Aged Quality of Life
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A comparison of statistical and machine-learning techniques in evaluating the association between dietary patterns and 10-year cardiometabolic risk (2002-2012): the ATTICA study.

The British journal of nutrition May 23, 2018
Statistical methods are usually applied in examining diet-disease associations, whereas factor analysis is commonly used for dietary pattern recognition. Recently, machine learning (ML) has been also proposed as an alternative technique in health cla...
Adolescent Incidence Hypertension Diabetes Mellitus Middle Aged Diet Risk Assessment Sex Factors Linear Models Pattern Recognition, Automated Hypercholesterolemia Follow-Up Studies Risk Factors Models, Statistical Aged Blood Pressure Machine Learning Aged, 80 and over Humans Data Interpretation, Statistical Prospective Studies Young Adult Female Adult Reproducibility of Results Male Cardiovascular Diseases
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Deep Neural Networks for Modeling Visual Perceptual Learning.

The Journal of neuroscience : the official journal of the Society for Neuroscience May 23, 2018
Understanding visual perceptual learning (VPL) has become increasingly more challenging as new phenomena are discovered with novel stimuli and training paradigms. Although existing models aid our knowledge of critical aspects of VPL, the connections ...
Deep Learning Models, Neurological Visual Perception Computer Simulation Learning Animals Humans
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Sarcopenia: Beyond Muscle Atrophy and into the New Frontiers of Opportunistic Imaging, Precision Medicine, and Machine Learning.

Seminars in musculoskeletal radiology May 23, 2018
As populations continue to age worldwide, the impact of sarcopenia on public health will continue to grow. The clinically relevant and increasingly common diagnosis of sarcopenia is at the confluence of three tectonic shifts in medicine: opportunisti...
Absorptiometry, Photon Precision Medicine Tomography, X-Ray Computed Mass Screening Sarcopenia Humans Machine Learning
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Automated chest screening based on a hybrid model of transfer learning and convolutional sparse denoising autoencoder.

Biomedical engineering online May 23, 2018
OBJECTIVE: In this paper, we aim to investigate the effect of computer-aided triage system, which is implemented for the health checkup of lung lesions involving tens of thousands of chest X-rays (CXRs) that are required for diagnosis. Therefore, hig...
Machine Learning Lung ROC Curve Image Processing, Computer-Assisted Triage Automation Signal-To-Noise Ratio Humans Radiography, Thoracic
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Machine learning in the integration of simple variables for identifying patients with myocardial ischemia.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology May 22, 2018
BACKGROUND: A significant number of variables are obtained when characterizing patients suspected with myocardial ischemia or at risk of MACE. Guidelines typically use a handful of them to support further workup or therapeutic decisions. However, it ...
Humans Machine Learning Retrospective Studies Female Predictive Value of Tests Feasibility Studies Positron-Emission Tomography Myocardial Ischemia Aged Male Middle Aged ROC Curve Myocardial Perfusion Imaging Nitrogen Radioisotopes
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3D Tooth Segmentation and Labeling Using Deep Convolutional Neural Networks.

IEEE transactions on visualization and computer graphics May 22, 2018
In this paper, we present a novel approach for 3D dental model segmentation via deep Convolutional Neural Networks (CNNs). Traditional geometry-based methods tend to receive undesirable results due to the complex appearance of human teeth (e.g., miss...
Radiography, Dental Humans Tooth Neural Networks, Computer Tomography, X-Ray Computed Algorithms Imaging, Three-Dimensional Dentition
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Effect of Health and Training on Ultrasensitive Cardiac Troponin in Marathon Runners.

The journal of applied laboratory medicine May 22, 2018
PURPOSE: Cardiac troponin (cTn) is the gold standard biomarker for assessing cardiac damage. Previous studies have demonstrated increases in plasma cTn because of extreme exercise, including marathon running. We developed an easy-to-use, ultrasensiti...
Case-Control Studies Humans Health Status Adult Biomarkers Running Male Female Troponin I Middle Aged Exercise
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Machine learning algorithms for accurate differential diagnosis of lymphocytosis based on cell population data.

British journal of haematology May 22, 2018
Algorithms Diagnosis, Differential Lymphocytosis Humans Machine Learning
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Fine-grained leukocyte classification with deep residual learning for microscopic images.

Computer methods and programs in biomedicine May 22, 2018
BACKGROUND AND OBJECTIVE: Leukocyte classification and cytometry have wide applications in medical domain, previous researches usually exploit machine learning techniques to classify leukocytes automatically. However, constrained by the past developm...
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Humans Neural Networks, Computer Leukocytes Microscopy Pattern Recognition, Automated Machine Learning Support Vector Machine Models, Statistical
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