AIMC Topic:
Databases, Factual

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Predictive time-series modeling using artificial neural networks for Linac beam symmetry: an empirical study.

Annals of the New York Academy of Sciences Sep 14, 2016
Over half of cancer patients receive radiotherapy (RT) as partial or full cancer treatment. Daily quality assurance (QA) of RT in cancer treatment closely monitors the performance of the medical linear accelerator (Linac) and is critical for continuo...
Reproducibility of Results Neoplasms Computational Biology Machine Learning Forecasting Databases, Factual Kinetics Models, Biological Quality Assurance, Health Care Longitudinal Studies Regression Analysis Bayes Theorem Humans Neural Networks, Computer Radiosurgery Empirical Research In Vivo Dosimetry
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GeneSCF: a real-time based functional enrichment tool with support for multiple organisms.

BMC bioinformatics Sep 13, 2016
BACKGROUND: High-throughput technologies such as ChIP-sequencing, RNA-sequencing, DNA sequencing and quantitative metabolomics generate a huge volume of data. Researchers often rely on functional enrichment tools to interpret the biological significa...
Sequence Analysis, DNA Humans Metabolomics Databases, Factual Gene Ontology Sequence Analysis, RNA
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Automatic 3D liver location and segmentation via convolutional neural network and graph cut.

International journal of computer assisted radiology and surgery Sep 7, 2016
PURPOSE: Segmentation of the liver from abdominal computed tomography (CT) images is an essential step in some computer-assisted clinical interventions, such as surgery planning for living donor liver transplant, radiotherapy and volume measurement. ...
Humans Abdomen Neural Networks, Computer Databases, Factual Liver Algorithms Tomography, X-Ray Computed Organ Size Imaging, Three-Dimensional
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OntoBrowser: a collaborative tool for curation of ontologies by subject matter experts.

Bioinformatics (Oxford, England) Sep 6, 2016
UNLABELLED: The lack of controlled terminology and ontology usage leads to incomplete search results and poor interoperability between databases. One of the major underlying challenges of data integration is curating data to adhere to controlled term...
Biological Ontologies Vocabulary, Controlled Data Curation Software Databases, Factual Peer Review
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Automated detection of discourse segment and experimental types from the text of cancer pathway results sections.

Database : the journal of biological databases and curation Aug 31, 2016
Automated machine-reading biocuration systems typically use sentence-by-sentence information extraction to construct meaning representations for use by curators. This does not directly reflect the typical discourse structure used by scientists to con...
Humans Natural Language Processing Machine Learning Data Mining Databases, Factual Electronic Data Processing Animals
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Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning.

Neural networks : the official journal of the International Neural Network Society Aug 30, 2016
Most of machine learning approaches have stemmed from the application of minimizing the mean squared distance principle, based on the computationally efficient quadratic optimization methods. However, when faced with high-dimensional and noisy data, ...
Algorithms Databases, Factual Time Factors Models, Theoretical Machine Learning
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Development of Health Parameter Model for Risk Prediction of CVD Using SVM.

Computational and mathematical methods in medicine Aug 9, 2016
Current methods of cardiovascular risk assessment are performed using health factors which are often based on the Framingham study. However, these methods have significant limitations due to their poor sensitivity and specificity. We have compared th...
Support Vector Machine Aged Australia Sensitivity and Specificity Regression Analysis Male Cohort Studies Cardiovascular Diseases ROC Curve Algorithms Middle Aged Humans Genetic Predisposition to Disease Databases, Factual Risk Assessment Machine Learning Female Eye Outcome Assessment, Health Care Linear Models Pattern Recognition, Automated
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Prediction of selective estrogen receptor beta agonist using open data and machine learning approach.

Drug design, development and therapy Jul 18, 2016
BACKGROUND: Estrogen receptors (ERs) are nuclear transcription factors that are involved in the regulation of many complex physiological processes in humans. ERs have been validated as important drug targets for the treatment of various diseases, inc...
Humans Machine Learning Databases, Factual Computer Simulation Drug Discovery Quantitative Structure-Activity Relationship Estrogen Receptor beta Open Access Publishing
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Supervised Filter Learning for Representation Based Face Recognition.

PloS one Jul 14, 2016
Representation based classification methods, such as Sparse Representation Classification (SRC) and Linear Regression Classification (LRC) have been developed for face recognition problem successfully. However, most of these methods use the original ...
Algorithms Facial Recognition Image Interpretation, Computer-Assisted Artificial Intelligence Databases, Factual Face Lighting Pattern Recognition, Automated
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HPIDB 2.0: a curated database for host-pathogen interactions.

Database : the journal of biological databases and curation Jul 3, 2016
Identification and analysis of host-pathogen interactions (HPI) is essential to study infectious diseases. However, HPI data are sparse in existing molecular interaction databases, especially for agricultural host-pathogen systems. Therefore, resourc...
Gene Ontology Data Curation Animals Host-Pathogen Interactions Humans Databases, Factual
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