AIMC Topic: Neural Networks, Computer

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Predictive analytics and machine learning in stroke and neurovascular medicine.

Neurological research Apr 30, 2019
Advances in predictive analytics and machine learning supported by an ever-increasing wealth of data and processing power are transforming almost every industry. Accuracy and precision of predictive analytics have significantly increased over the pas...
Neural Networks, Computer Machine Learning Algorithms Cerebrovascular Disorders Diagnosis, Computer-Assisted Stroke Humans
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Extracting chemical-protein interactions from biomedical literature via granular attention based recurrent neural networks.

Computer methods and programs in biomedicine Apr 30, 2019
BACKGROUND AND OBJECTIVE: The extraction of interactions between chemicals and proteins from biomedical literature is important for many biomedical tasks such as drug discovery and precision medicine. In the existing systems, the methods achieving co...
Humans Neural Networks, Computer Software Proteins Databases, Protein Reproducibility of Results Deep Learning Publications PubMed Data Mining Probability
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An adverse drug effect mentions extraction method based on weighted online recurrent extreme learning machine.

Computer methods and programs in biomedicine Apr 30, 2019
BACKGROUND AND OBJECTIVE: Automatic extraction of adverse drug effect (ADE) mentions from biomedical texts is a challenging research problem that has attracted significant attention from the pharmacovigilance and biomedical text mining communities. I...
Data Mining Pharmacovigilance Semantics Machine Learning Software Algorithms Publications Drug-Related Side Effects and Adverse Reactions Humans Databases, Factual Reproducibility of Results Neural Networks, Computer
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Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.

Pediatric radiology Apr 30, 2019
BACKGROUND: An automated method for identifying the anatomical region of an image independent of metadata labels could improve radiologist workflow (e.g., automated hanging protocols) and help facilitate the automated curation of large medical imagin...
Female Male Deep Learning Machine Learning Databases, Factual Retrospective Studies Child ROC Curve Area Under Curve Radiography Clinical Competence Adolescent Child, Preschool Humans Neural Networks, Computer Radiologists Automation Workflow Musculoskeletal Diseases Semantics
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Incorporated region detection and classification using deep convolutional networks for bone age assessment.

Artificial intelligence in medicine Apr 30, 2019
Bone age assessment plays an important role in the endocrinology and genetic investigation of patients. In this paper, we proposed a deep learning-based approach for bone age assessment by integration of the Tanner-Whitehouse (TW3) methods and deep c...
Neural Networks, Computer Child, Preschool Humans Female Child Infant, Newborn Age Determination by Skeleton Male Infant Deep Learning Adolescent
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Automatic segmentation of Sperm's parts in microscopic images of human semen smears using concatenated learning approaches.

Computers in biology and medicine Apr 30, 2019
Accurate segmentation of the sperms in microscopic semen smear images is a prerequisite step in automatic sperm morphology analysis. It is a challenging task due to the non-uniform distribution of light in semen smear images, low contrast between spe...
Image Processing, Computer-Assisted Support Vector Machine Semen Analysis Spermatozoa Microscopy Humans Neural Networks, Computer Male
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Predicting Academic Performance of Students Using a Hybrid Data Mining Approach.

Journal of medical systems Apr 30, 2019
Data mining offers strong techniques for different sectors involving education. In the education field the research is developing rapidly increasing due to huge number of student's information which can be used to invent valuable pattern pertaining l...
Support Vector Machine Decision Trees Data Mining Sex Factors Neural Networks, Computer India Universities Humans Behavior Academic Performance Interatrial Block
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Implications of asymmetric neural activity patterns in the basal ganglia outflow in the integrative neural network model for cervical dystonia.

Progress in brain research Apr 30, 2019
Cervical dystonia (CD) is characterized by abnormal twisting and turning of the head with associated head oscillations. It is the most common form of dystonia, which is a third most common movement disorder. Despite frequent occurrence there is pauci...
Nerve Net Electrophysiological Phenomena Adult Torticollis Humans Globus Pallidus Models, Neurological Neural Networks, Computer Deep Brain Stimulation Machine Learning
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Methodology and validation for identifying gait type using machine learning on IMU data.

Journal of medical engineering & technology Apr 30, 2019
With the rising popularity of activity tracking, there is a desire to not only count the number of steps a person takes, but also identify the type of step (e.g., walking or running) they are taking. For rehabilitation and athletic training, this dif...
Adolescent Walking Running Neural Networks, Computer Reproducibility of Results Machine Learning Young Adult Adult Humans Acceleration Accelerometry
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Event-Triggered Synchronization Strategy for Multiple Neural Networks With Time Delay.

IEEE transactions on cybernetics Apr 29, 2019
This paper deals with global exponential synchronization of multiple neural networks (NNs) with time delay via a very broad class of event-triggered coupling, in which coupling matrix can be non-Laplacian. Some simple and convenient sufficient condit...
Neural Networks, Computer Algorithms Computer Simulation Time Factors
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