AIMC Topic: Humans

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Toward Automatic Risk Assessment to Support Suicide Prevention.

Crisis Nov 26, 2018
Suicide has been considered an important public health issue for years and is one of the main causes of death worldwide. Despite prevention strategies being applied, the rate of suicide has not changed substantially over the past decades. Suicide ri...
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Suicide Prevention Suicide Support Vector Machine Data Mining Humans Middle Aged Artificial Intelligence Risk Assessment Pilot Projects Machine Learning State Medicine Female Multivariate Analysis Adult Medical Records Male Referral and Consultation Statistics as Topic United Kingdom Automation
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In vitro activity of flomoxef against extended-spectrum β-lactamase-producing Escherichia coli and Klebsiella pneumoniae in Korea.

Diagnostic microbiology and infectious disease Nov 26, 2018
To find an alternative regimen for the treatment of extended-spectrum β-lactamase (EBSL)-producing Enterobacteriaceae infections, we examined the in vitro activity of flomoxef against Escherichia coli and Klebsiella pneumoniae having CTX-M-1 group an...
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beta-Lactamases Humans Klebsiella pneumoniae Hospitals, University Anti-Bacterial Agents Escherichia coli Proteins Klebsiella Infections Cephalosporins Microbial Sensitivity Tests Escherichia coli Korea Escherichia coli Infections
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Hyperspectral Tissue Image Segmentation Using Semi-Supervised NMF and Hierarchical Clustering.

IEEE transactions on medical imaging Nov 26, 2018
Hyperspectral imaging (HSI) of tissue samples in the mid-infrared (mid-IR) range provides spectro-chemical and tissue structure information at sub-cellular spatial resolution. Disease states can be directly assessed by analyzing the mid-IR spectra of...
Colonic Diseases Colon Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Optical Imaging Cluster Analysis Spectrophotometry, Infrared Supervised Machine Learning Humans
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Inter-subject transfer learning with an end-to-end deep convolutional neural network for EEG-based BCI.

Journal of neural engineering Nov 26, 2018
OBJECTIVE: Despite the effective application of deep learning (DL) in brain-computer interface (BCI) systems, the successful execution of this technique, especially for inter-subject classification, in cognitive BCI has not been accomplished yet. In ...
Electroencephalography Attention Brain-Computer Interfaces Color Perception Machine Learning Humans Transfer, Psychology Algorithms Neural Networks, Computer Stroop Test Deep Learning
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A reliable method for colorectal cancer prediction based on feature selection and support vector machine.

Medical & biological engineering & computing Nov 26, 2018
Colorectal cancer (CRC) is a common cancer responsible for approximately 600,000 deaths per year worldwide. Thus, it is very important to find the related factors and detect the cancer accurately. However, timely and accurate prediction of the diseas...
Colorectal Neoplasms ROC Curve Logistic Models Body Mass Index Support Vector Machine Area Under Curve Models, Biological Humans Reproducibility of Results Sensitivity and Specificity
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Refining Convolutional Neural Network Detection of Small-Bowel Obstruction in Conventional Radiography.

AJR. American journal of roentgenology Nov 26, 2018
OBJECTIVE: The purpose of this study was to evaluate improvement of convolutional neural network detection of high-grade small-bowel obstruction on conventional radiographs with increased training set size.
Retrospective Studies Female Aged Aged, 80 and over Humans Neural Networks, Computer Intestine, Small Middle Aged Young Adult Adolescent Adult Radiography Male Intestinal Obstruction
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A primer on deep learning in genomics.

Nature genetics Nov 26, 2018
Deep learning methods are a class of machine learning techniques capable of identifying highly complex patterns in large datasets. Here, we provide a perspective and primer on deep learning applications for genome analysis. We discuss successful appl...
Genomics Genome, Human Humans Machine Learning Deep Learning
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Found In Translation: a machine learning model for mouse-to-human inference.

Nature methods Nov 26, 2018
Cross-species differences form barriers to translational research that ultimately hinder the success of clinical trials, yet knowledge of species differences has yet to be systematically incorporated in the interpretation of animal models. Here we pr...
Gene Expression Profiling Transcriptome Case-Control Studies Mice Genomics Signal Transduction Translational Research, Biomedical Female Animals Male Middle Aged Machine Learning Algorithms Inflammatory Bowel Diseases Humans
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Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies.

Scientific reports Nov 26, 2018
The level of PD-L1 expression in immunohistochemistry (IHC) assays is a key biomarker for the identification of Non-Small-Cell-Lung-Cancer (NSCLC) patients that may respond to anti PD-1/PD-L1 treatments. The quantification of PD-L1 expression current...
Lung Neoplasms B7-H1 Antigen Carcinoma, Non-Small-Cell Lung Supervised Machine Learning Immunohistochemistry Biopsy, Needle Humans Image Processing, Computer-Assisted
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Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models.

BMC genomics Nov 26, 2018
BACKGROUND: An increasing number of studies reported that exogenous miRNAs (xenomiRs) can be detected in animal bodies, however, some others reported negative results. Some attributed this divergence to the selective absorption of plant-derived xenom...
MicroRNAs Plants High-Throughput Nucleotide Sequencing Databases, Nucleic Acid Humans Neural Networks, Computer Biomarkers RNA, Plant
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