AIMC Topic: Datasets as Topic

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CADOES: An interactive machine-learning approach for sex estimation with the pelvis.

Forensic science international Jul 5, 2019
The pelvis is consistently regarded as the most sexually dimorphic region of the human skeleton, and methods for sex estimation with the pelvic bones are usually very accurate. In this investigation, population-specific osteometric models for the ass...
Sex Determination by Skeleton Forensic Anthropology Neural Networks, Computer Machine Learning Female Male Logistic Models Pelvic Bones Least-Squares Analysis Datasets as Topic Humans
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Identifying incident dementia by applying machine learning to a very large administrative claims dataset.

PloS one Jul 5, 2019
Alzheimer's disease and related dementias (ADRD) are highly prevalent conditions, and prior efforts to develop predictive models have relied on demographic and clinical risk factors using traditional logistical regression methods. We hypothesized tha...
Male Middle Aged Female Cognitive Dysfunction Humans Dementia Aged Machine Learning Incidence Aged, 80 and over Algorithms Datasets as Topic Adult
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Learning-based classification of valence emotion from electroencephalography.

The International journal of neuroscience Jul 3, 2019
The neuroimaging research field has been revolutionized with the development of human cognitive functions without the use of brain pathways. To assist such systems, electroencephalography (EEG) based measures play an important role. In this study, th...
Neural Networks, Computer Machine Learning Brain Young Adult Humans Signal Processing, Computer-Assisted Datasets as Topic Brain Waves Recognition, Psychology Adult Models, Theoretical Emotions Electroencephalography
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Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks.

Medical image analysis Jun 29, 2019
Differently to semantic segmentation, instance segmentation assigns unique labels to each individual instance of the same object class. In this work, we propose a novel recurrent fully convolutional network architecture for tracking such instance seg...
Microscopy Video Recording Datasets as Topic Muscle Fibers, Skeletal Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Cell Tracking Humans
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Trader as a new optimization algorithm predicts drug-target interactions efficiently.

Scientific reports Jun 27, 2019
Several machine learning approaches have been proposed for predicting new benefits of the existing drugs. Although these methods have introduced new usage(s) of some medications, efficient methods can lead to more accurate predictions. To this end, w...
Computational Biology Drug Development Proteins Data Mining Datasets as Topic Machine Learning Humans Software Algorithms ROC Curve
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Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records.

Scientific reports Jun 25, 2019
Electronic health records (EHR) represent a rich resource for conducting observational studies, supporting clinical trials, and more. However, much of the data contains unstructured text, presenting an obstacle to automated extraction. Natural langua...
Humans Machine Learning Algorithms Receptors, Progesterone Natural Language Processing Electronic Health Records Datasets as Topic Female Receptor, ErbB-2 Breast Neoplasms Receptors, Estrogen
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Learning cellular morphology with neural networks.

Nature communications Jun 21, 2019
Reconstruction and annotation of volume electron microscopy data sets of brain tissue is challenging but can reveal invaluable information about neuronal circuits. Significant progress has recently been made in automated neuron reconstruction as well...
Microscopy, Electron Passeriformes Neurons Synapses Datasets as Topic Neural Networks, Computer Algorithms Brain Animals Male Image Processing, Computer-Assisted Feasibility Studies
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Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

Pharmacoepidemiology and drug safety Jun 19, 2019
PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classifying types of overdose using electronic health record (EHR) databases.
Washington Self-Injurious Behavior Risk Heroin Sensitivity and Specificity Predictive Value of Tests Natural Language Processing Analgesics, Opioid Opioid-Related Disorders Datasets as Topic Drug Overdose Humans Electronic Health Records
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Artery-vein segmentation in fundus images using a fully convolutional network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 15, 2019
Epidemiological studies demonstrate that dimensions of retinal vessels change with ocular diseases, coronary heart disease and stroke. Different metrics have been described to quantify these changes in fundus images, with arteriolar and venular calib...
Retinal Artery Retinal Vein Fundus Oculi Datasets as Topic Photography Retinal Vessels Humans Deep Learning Benchmarking
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SIMON, an Automated Machine Learning System, Reveals Immune Signatures of Influenza Vaccine Responses.

Journal of immunology (Baltimore, Md. : 1950) Jun 14, 2019
Machine learning holds considerable promise for understanding complex biological processes such as vaccine responses. Capturing interindividual variability is essential to increase the statistical power necessary for building more accurate predictive...
Humans Machine Learning Algorithms Adolescent Child Vaccination CD8-Positive T-Lymphocytes Female Young Adult Adult Male Influenza Vaccines Datasets as Topic T-Lymphocyte Subsets CD4-Positive T-Lymphocytes Influenza, Human Data Mining
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