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Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis May 9, 2018
Child Graft vs Host Disease Transfusion Reaction Hematopoietic Stem Cells Infant Erythrocyte Transfusion Adolescent Child, Preschool Artificial Intelligence Adult Hyperbilirubinemia Male Female Photopheresis Young Adult Humans
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A Dynamic Compliance Cervix Phantom Robot for Latent Labor Simulation.

Soft robotics May 9, 2018
Physical simulation systems are commonly used in training of midwifery and obstetrics students, but none of these systems offers a dynamic compliance aspect that would make them more truly representative of cervix ripening. In this study, we introduc...
(1)
Labor, Induced Gynecology Pregnancy Female Robotics Cervical Ripening Humans Cervix Uteri
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An unsupervised automatic segmentation algorithm for breast tissue classification of dedicated breast computed tomography images.

Medical physics May 9, 2018
PURPOSE: To develop and evaluate a new automatic classification algorithm to identify voxels containing skin, vasculature, adipose, and fibroglandular tissue in dedicated breast CT images.
Humans Tomography, X-Ray Computed Cluster Analysis Skin Breast Adipose Tissue Pattern Recognition, Automated Mammography Unsupervised Machine Learning
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A machine learning model with human cognitive biases capable of learning from small and biased datasets.

Scientific reports May 9, 2018
Human learners can generalize a new concept from a small number of samples. In contrast, conventional machine learning methods require large amounts of data to address the same types of problems. Humans have cognitive biases that promote fast learnin...
Neural Networks, Computer Machine Learning Support Vector Machine Cognition Humans
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Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing.

Scientific reports May 9, 2018
Research into suicide prevention has been hampered by methodological limitations such as low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies have been used with Electronic Health Records to increase information ext...
Suicidal Ideation Natural Language Processing Data Mining Databases, Factual Suicide, Attempted Humans
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Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery.

International journal of health geographics May 9, 2018
BACKGROUND: Conducting surveys in low- and middle-income countries is often challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative s...
Nigeria Residence Characteristics Developing Countries Humans Neural Networks, Computer Satellite Imagery Guatemala Data Collection Demography
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You are smarter than you think: (super) machine learning in context.

European journal of epidemiology May 9, 2018
We discuss an article on super learning by Naimi and Balzer in the current issue of this journal in the context of machine learning. We give a brief example that emphasizes the need for human intelligence in the rapidly evolving field of machine lear...
Machine Learning Humans Epidemiologic Studies
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Vector-based navigation using grid-like representations in artificial agents.

Nature May 9, 2018
Deep neural networks have achieved impressive successes in fields ranging from object recognition to complex games such as Go. Navigation, however, remains a substantial challenge for artificial agents, with deep neural networks trained by reinforcem...
(1)
Spatial Navigation Grid Cells Environment Entorhinal Cortex Humans Neural Networks, Computer Animals Biomimetics Machine Learning
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Evaluation of a Novel System to Enhance Clinicians' Recognition of Preadmission Adverse Drug Reactions.

Applied clinical informatics May 9, 2018
BACKGROUND: Often unrecognized by providers, adverse drug reactions (ADRs) diminish patients' quality of life, cause preventable admissions and emergency department visits, and increase health care costs.
Patient Discharge Humans Drug-Related Side Effects and Adverse Reactions Patient Admission Health Personnel Surveys and Questionnaires Medical Informatics Natural Language Processing
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Research on Improved Depth Belief Network-Based Prediction of Cardiovascular Diseases.

Journal of healthcare engineering May 9, 2018
Quantitative analysis and prediction can help to reduce the risk of cardiovascular disease. Quantitative prediction based on traditional model has low accuracy. The variance of model prediction based on shallow neural network is larger. In this paper...
Diagnosis, Computer-Assisted Models, Statistical Female Humans Male Predictive Value of Tests Neural Networks, Computer Cardiovascular Diseases
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