AIMC Topic: Datasets as Topic

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An integrative machine learning strategy for improved prediction of essential genes in Escherichia coli metabolism using flux-coupled features.

Molecular bioSystems Jul 25, 2017
Prediction of essential genes helps to identify a minimal set of genes that are absolutely required for the appropriate functioning and survival of a cell. The available machine learning techniques for essential gene prediction have inherent problems...
Caulobacteraceae Escherichia coli K12 Base Composition Benchmarking Helicobacter pylori Datasets as Topic Codon Machine Learning Phenotype Genotype Genes, Essential Metabolic Networks and Pathways
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Automated classification of eligibility criteria in clinical trials to facilitate patient-trial matching for specific patient populations.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: To develop automated classification methods for eligibility criteria in ClinicalTrials.gov to facilitate patient-trial matching for specific populations such as persons living with HIV or pregnant women.
Humans Machine Learning Neoplasms Datasets as Topic Natural Language Processing Clinical Trials as Topic Patient Selection Eligibility Determination HIV Seropositivity
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The 'time machine' reconstructing ancient Venice's social networks.

Nature Jun 14, 2017
Datasets as Topic History, 21st Century Automation Commerce Machine Learning Animals Robotics Italy Reading Maps as Topic Social Networking Social Change History, 20th Century Archives History, 19th Century Handwriting Humans History, 18th Century History, Medieval Plague Democracy Manuscripts as Topic History, 15th Century Banking, Personal History, 16th Century Books History, 17th Century Famous Persons
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De-identification of patient notes with recurrent neural networks.

Journal of the American Medical Informatics Association : JAMIA May 1, 2017
OBJECTIVE: Patient notes in electronic health records (EHRs) may contain critical information for medical investigations. However, the vast majority of medical investigators can only access de-identified notes, in order to protect the confidentiality...
Humans Neural Networks, Computer Electronic Health Records Data Anonymization Datasets as Topic
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Protein subcellular localization prediction using multiple kernel learning based support vector machine.

Molecular bioSystems Mar 28, 2017
Predicting the subcellular locations of proteins can provide useful hints that reveal their functions, increase our understanding of the mechanisms of some diseases, and finally aid in the development of novel drugs. As the number of newly discovered...
Intracellular Space Algorithms Support Vector Machine Reproducibility of Results Proteins Computational Biology Datasets as Topic Protein Transport
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Improving CCTA-based lesions' hemodynamic significance assessment by accounting for partial volume modeling in automatic coronary lumen segmentation.

Medical physics Mar 1, 2017
PURPOSE: The goal of this study was to assess the potential added benefit of accounting for partial volume effects (PVE) in an automatic coronary lumen segmentation algorithm that is used to determine the hemodynamic significance of a coronary artery...
Retrospective Studies Hemodynamics ROC Curve Imaging, Three-Dimensional Area Under Curve Coronary Angiography Datasets as Topic Humans Coronary Vessels Pattern Recognition, Automated Machine Learning Computed Tomography Angiography Software Models, Cardiovascular Coronary Stenosis
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MRI-based prostate cancer detection with high-level representation and hierarchical classification.

Medical physics Mar 1, 2017
PURPOSE: Extracting the high-level feature representation by using deep neural networks for detection of prostate cancer, and then based on high-level feature representation constructing hierarchical classification to refine the detection results.
Magnetic Resonance Imaging Prostatic Neoplasms Prostate Image Interpretation, Computer-Assisted Datasets as Topic Humans Neural Networks, Computer Sensitivity and Specificity Male
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Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network.

Medical physics Mar 1, 2017
PURPOSE: It is estimated that 7% of women in the western world will develop palpable breast cysts in their lifetime. Even though cysts have been correlated with risk of developing breast cancer, many of them are benign and do not require follow-up. W...
False Positive Reactions Breast Cyst Diagnosis, Differential Area Under Curve Radiographic Image Interpretation, Computer-Assisted Datasets as Topic Breast Neoplasms ROC Curve Mammography Humans Neural Networks, Computer Female
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Using deep learning to segment breast and fibroglandular tissue in MRI volumes.

Medical physics Feb 1, 2017
PURPOSE: Automated segmentation of breast and fibroglandular tissue (FGT) is required for various computer-aided applications of breast MRI. Traditional image analysis and computer vision techniques, such atlas, template matching, or, edge and surfac...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Mammography Machine Learning Breast Density Artifacts Skin Female Aged Datasets as Topic Adult Pattern Recognition, Automated Middle Aged Atlases as Topic
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Collection of Simulated Data from a Thalamocortical Network Model.

Neuroinformatics Jan 1, 2017
A major challenge in experimental data analysis is the validation of analytical methods in a fully controlled scenario where the justification of the interpretation can be made directly and not just by plausibility. In some sciences, this could be a ...
Information Dissemination Computer Simulation Thalamus Humans Datasets as Topic Animals Membrane Potentials Neural Networks, Computer Cerebral Cortex Models, Neurological Software Neurons Neural Pathways
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