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Showing 68881 to 68890 of 95995 articles
Open Globe Injury Patient Identification in Warfare Clinical Notes.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
The aim of this study is to utilize the Defense and Veterans Eye Injury and Vision Registry clinical data derived from DoD and VA medical systems which include documentation of care while in combat, and develop methods for comprehensive and reliable ...
Machine Learning-Augmented Propensity Score-Adjusted Multilevel Mixed Effects Panel Analysis of Hands-On Cooking and Nutrition Education versus Traditional Curriculum for Medical Students as Preventive Cardiology: Multisite Cohort Study of 3,248 Trainees over 5 Years.
BioMed research international
Apr 15, 2018
BACKGROUND: Cardiovascular disease (CVD) annually claims more lives and costs more dollars than any other disease globally amid widening health disparities, despite the known significant reductions in this burden by low cost dietary changes. The worl...
Visual Kinship Recognition of Families in the Wild.
IEEE transactions on pattern analysis and machine intelligence
Apr 13, 2018
We present the largest database for visual kinship recognition, Families In the Wild (FIW), with over 13,000 family photos of 1,000 family trees with 4-to-38 members. It took only a small team to build FIW with efficient labeling tools and work-flow....
Assessing patient risk of central line-associated bacteremia via machine learning.
American journal of infection control
Apr 13, 2018
BACKGROUND: Central line-associated bloodstream infections (CLABSIs) contribute to increased morbidity, length of hospital stay, and cost. Despite progress in understanding the risk factors, there remains a need to accurately predict the risk of CLAB...
Risk Assessment
Infant
Case-Control Studies
Adolescent
Adult
Male
Middle Aged
Catheter-Related Infections
Academic Medical Centers
Epidemiologic Methods
Child, Preschool
Child
Bacteremia
Catheterization, Central Venous
Machine Learning
Retrospective Studies
Female
Infant, Newborn
Aged
Aged, 80 and over
Young Adult
Humans
Does Cognitive Impairment and Agitation in Dementia Influence Intervention Effectiveness? Findings From a Cluster-Randomized-Controlled Trial With the Therapeutic Robot, PARO.
Journal of the American Medical Directors Association
Apr 13, 2018
OBJECTIVES: To explore whether severity of cognitive impairment and agitation of older people with dementia predict outcomes in engagement, mood states, and agitation after a 10-week intervention with the robotic seal, PARO.
(1)
A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks.
Neural computation
Apr 13, 2018
To accommodate structured approaches of neural computation, we propose a class of recurrent neural networks for indexing and storing sequences of symbols or analog data vectors. These networks with randomized input weights and orthogonal recurrent we...
Healthcare Text Classification System and its Performance Evaluation: A Source of Better Intelligence by Characterizing Healthcare Text.
Journal of medical systems
Apr 13, 2018
A machine learning (ML)-based text classification system has several classifiers. The performance evaluation (PE) of the ML system is typically driven by the training data size and the partition protocols used. Such systems lead to low accuracy becau...
Characterization of hidden rules linking symptoms and selection of acupoint using an artificial neural network model.
Frontiers of medicine
Apr 12, 2018
Comprehension of the medical diagnoses of doctors and treatment of diseases is important to understand the underlying principle in selecting appropriate acupoints. The pattern recognition process that pertains to symptoms and diseases and informs acu...
Practical Time-Varying Formation Tracking for Second-Order Nonlinear Multiagent Systems With Multiple Leaders Using Adaptive Neural Networks.
IEEE transactions on neural networks and learning systems
Apr 12, 2018
Practical time-varying formation tracking problems for second-order nonlinear multiagent systems with multiple leaders are investigated using adaptive neural networks (NNs), where the time-varying formation tracking error caused by time-varying exter...
Control of a 7-DOF Robotic Arm System With an SSVEP-Based BCI.
International journal of neural systems
Apr 12, 2018
Although robot technology has been successfully used to empower people who suffer from motor disabilities to increase their interaction with their physical environment, it remains a challenge for individuals with severe motor impairment, who do not h...
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