AIMC Topic: Humans

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Augmenting Recurrent Neural Networks Resilience by Dropout.

IEEE transactions on neural networks and learning systems Mar 18, 2019
This brief discusses the simple idea that dropout regularization can be used to efficiently induce resiliency to missing inputs at prediction time in a generic neural network. We show how the approach can be effective on tasks where imputation strate...
Deep Learning Data Interpretation, Statistical Activities of Daily Living Algorithms Reproducibility of Results Humans Neural Networks, Computer
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Gene Expression Classification of Lung Adenocarcinoma into Molecular Subtypes.

IEEE/ACM transactions on computational biology and bioinformatics Mar 18, 2019
As one of the most common malignancies in the world, lung adenocarcinoma (LUAD) is currently difficult to cure. However, the advent of precision medicine provides an opportunity to improve the treatment of lung cancer. Subtyping lung cancer plays an ...
Humans Mutation Neural Networks, Computer Adenocarcinoma of Lung Algorithms Lung Neoplasms Biomarkers, Tumor Cluster Analysis Gene Expression Profiling Transcriptome
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Prediction of cervical spine injury in young pediatric patients: an optimal trees artificial intelligence approach.

Journal of pediatric surgery Mar 18, 2019
BACKGROUND: Cervical spine injuries (CSI) are a major concern in young pediatric trauma patients. The consequences of missed injuries and difficulties in injury clearance for non-verbal patients have led to a tendency to image young children. Imaging...
Spinal Injuries Sensitivity and Specificity Algorithms Infant Humans Glasgow Coma Scale Registries Retrospective Studies Male Child, Preschool Cervical Vertebrae Machine Learning Age Factors Female
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MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features.

IEEE transactions on medical imaging Mar 18, 2019
In this paper, we propose bag of adversarial features (BAFs) for identifying mild traumatic brain injury (MTBI) patients from their diffusion magnetic resonance images (MRIs) (obtained within one month of injury) by incorporating unsupervised feature...
Diffusion Magnetic Resonance Imaging ROC Curve Image Interpretation, Computer-Assisted Brain Concussion Deep Learning Adolescent Algorithms Databases, Factual Brain Young Adult Adult Middle Aged Humans
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Data-driven synthetic MRI FLAIR artifact correction via deep neural network.

Journal of magnetic resonance imaging : JMRI Mar 18, 2019
BACKGROUND: FLAIR (fluid attenuated inversion recovery) imaging via synthetic MRI methods leads to artifacts in the brain, which can cause diagnostic limitations. The main sources of the artifacts are attributed to the partial volume effect and flow,...
Retrospective Studies Female Aged Humans Neural Networks, Computer Brain Artifacts Deep Learning Male Image Processing, Computer-Assisted Middle Aged Magnetic Resonance Imaging
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Expert-level classification of ventilatory thresholds from cardiopulmonary exercising test data with recurrent neural networks.

European journal of sport science Mar 18, 2019
First and second ventilatory thresholds (VT and VT) represent the boundaries of the moderate-heavy and heavy-severe exercise intensity. Currently, VTs are primarily detected visually from cardiopulmonary exercise test (CPET) data, beginning with an i...
Exercise Test Pulmonary Ventilation Anaerobic Threshold Humans Neural Networks, Computer Artificial Intelligence
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Multi-scale gradual integration CNN for false positive reduction in pulmonary nodule detection.

Neural networks : the official journal of the International Neural Network Society Mar 18, 2019
Lung cancer is a global and dangerous disease, and its early detection is crucial for reducing the risks of mortality. In this regard, it has been of great interest in developing a computer-aided system for pulmonary nodules detection as early as pos...
Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed Lung Neoplasms
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Telehealth in Mental Health Nursing Education: Health Care Simulation With Remote Presence Technology.

Journal of psychosocial nursing and mental health services Mar 18, 2019
The feasibility of integrating remote presence technology within a simulation scenario for psychiatric-mental health nursing (PMHN) students to develop telehealth competencies was evaluated. A wireless, audiovisual robot from Double® Robotics, maneuv...
Education, Nursing Patient Simulation Psychiatric Nursing Models, Educational Education, Distance Humans Qualitative Research Students, Nursing Robotics Telemedicine
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Is one-shot learning a viable option in drug discovery?

Expert opinion on drug discovery Mar 18, 2019
Machine Learning Drug Discovery Drug Development Humans Neural Networks, Computer
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DeepIon: Deep learning approach for classifying ion transporters and ion channels from membrane proteins.

Journal of computational chemistry Mar 18, 2019
The movement of ions across the cell membrane is an essential for many biological processes. This study is focused on ion channels and ion transporters (pumps) as types of border guards control the incessant traffic of ions across cell membranes. Ion...
Humans Ion Transport Deep Learning Automation Ion Channels
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