Humans

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Predicting Survival From Large Echocardiography and Electronic Health Record Datasets: Optimization With Machine Learning.

JACC. Cardiovascular imaging Jun 13, 2018
OBJECTIVES: The goal of this study was to use machine learning to more accurately predict survival after echocardiography.
Electronic Health Records Reproducibility of Results Risk Factors Time Factors Predictive Value of Tests Echocardiography Databases, Factual Humans Prognosis Machine Learning Risk Assessment Retrospective Studies Data Mining Heart Diseases
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Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Jun 13, 2018
The breast stromal microenvironment is a pivotal factor in breast cancer development, growth and metastases. Although pathologists often detect morphologic changes in stroma by light microscopy, visual classification of such changes is subjective and...
Middle Aged Deep Learning Biopsy Adult Breast Neoplasms Tumor Microenvironment Humans Female Aged
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Peripheral bronchial identification on chest CT using unsupervised machine learning.

International journal of computer assisted radiology and surgery Jun 13, 2018
PURPOSE: To automatically identify small- to medium-diameter bronchial segments distributed throughout the lungs.
Cross-Sectional Studies Bronchi Unsupervised Machine Learning Humans Imaging, Three-Dimensional Radiography, Thoracic Algorithms Tomography, X-Ray Computed
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Classifying the molecular functions of Rab GTPases in membrane trafficking using deep convolutional neural networks.

Analytical biochemistry Jun 13, 2018
Deep learning has been increasingly used to solve a number of problems with state-of-the-art performance in a wide variety of fields. In biology, deep learning can be applied to reduce feature extraction time and achieve high levels of performance. I...
Neoplasm Proteins Neural Networks, Computer Models, Biological Machine Learning Cell Membrane Neoplasms Humans Choroideremia Protein Transport rab GTP-Binding Proteins Intellectual Disability
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Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers.

Medical physics Jun 13, 2018
PURPOSE: Machine learning classification algorithms (classifiers) for prediction of treatment response are becoming more popular in radiotherapy literature. General Machine learning literature provides evidence in favor of some classifier families (r...
(1)
Humans Neural Networks, Computer Machine Learning Logistic Models Decision Trees Software Area Under Curve Prognosis Chemoradiotherapy Neoplasms
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PrESOgenesis: A two-layer multi-label predictor for identifying fertility-related proteins using support vector machine and pseudo amino acid composition approach.

Scientific reports Jun 13, 2018
Successful spermatogenesis and oogenesis are the two genetically independent processes preceding embryo development. To date, several fertility-related proteins have been described in mammalian species. Nevertheless, further studies are required to d...
(1)
Computational Biology Support Vector Machine Proteins Reproducibility of Results Animals Male Oogenesis Amino Acids Fertility Spermatogenesis Algorithms Female Humans Software
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Identifying tweets of personal health experience through word embedding and LSTM neural network.

BMC bioinformatics Jun 13, 2018
BACKGROUND: As Twitter has become an active data source for health surveillance research, it is important that efficient and effective methods are developed to identify tweets related to personal health experience. Conventional classification algorit...
Humans Neural Networks, Computer Algorithms Social Media Vocabulary Health
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Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction.

BMC bioinformatics Jun 13, 2018
BACKGROUND: Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance. We study the problem of extraction of Adve...
Supervised Machine Learning Drug-Related Side Effects and Adverse Reactions Databases as Topic Humans Information Storage and Retrieval Neural Networks, Computer Social Media
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Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images.

Physics in medicine and biology Jun 13, 2018
Positron emission tomography (PET) is a functional imaging modality widely used in neuroscience studies. To obtain meaningful quantitative results from PET images, attenuation correction is necessary during image reconstruction. For PET/MR hybrid sys...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Positron-Emission Tomography Neural Networks, Computer Brain Humans
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Artificial Intelligence: Bayesian versus Heuristic Method for Diagnostic Decision Support.

Applied clinical informatics Jun 13, 2018
Evoking strength is one of the important contributions of the field of Biomedical Informatics to the discipline of Artificial Intelligence. The University at Buffalo's Orthopedics Department wanted to create an expert system to assist patients with s...
Internet Adult Heuristics Male Child Humans Middle Aged Aged Infant Orthopedics Decision Support Systems, Clinical Adolescent Artificial Intelligence Aged, 80 and over Bayes Theorem Child, Preschool Female Young Adult
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