AIMC Topic: Statistics as Topic

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Dependency-based long short term memory network for drug-drug interaction extraction.

BMC bioinformatics Dec 28, 2017
BACKGROUND: Drug-drug interaction extraction (DDI) needs assistance from automated methods to address the explosively increasing biomedical texts. In recent years, deep neural network based models have been developed to address such needs and they ha...
Drug Interactions Databases as Topic Statistics as Topic Neural Networks, Computer Algorithms
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Innovative spectrophotometric methods for simultaneous estimation of the novel two-drug combination: Sacubitril/Valsartan through two manipulation approaches and a comparative statistical study.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Dec 17, 2017
Different innovative spectrophotometric methods were introduced for the first time for simultaneous quantification of sacubitril/valsartan in their binary mixture and in their combined dosage form without prior separation through two manipulation app...
Angiotensin Receptor Antagonists Tetrazoles Drug Combinations Aminobutyrates Biphenyl Compounds Spectrophotometry Statistics as Topic Tablets Valsartan
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Epileptic Seizure Prediction Using Big Data and Deep Learning: Toward a Mobile System.

EBioMedicine Dec 12, 2017
BACKGROUND: Seizure prediction can increase independence and allow preventative treatment for patients with epilepsy. We present a proof-of-concept for a seizure prediction system that is accurate, fully automated, patient-specific, and tunable to an...
Epilepsy Seizures Benchmarking Statistics as Topic Humans Machine Learning Time Factors
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A machine learning approach to triaging patients with chronic obstructive pulmonary disease.

PloS one Nov 22, 2017
COPD patients are burdened with a daily risk of acute exacerbation and loss of control, which could be mitigated by effective, on-demand decision support tools. In this study, we present a machine learning-based strategy for early detection of exacer...
Triage Statistics as Topic Machine Learning Pulmonary Disease, Chronic Obstructive Clinical Decision-Making Humans Algorithms Reproducibility of Results Disease Progression Physicians Consensus
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Statistics of Visual Responses to Image Object Stimuli from Primate AIT Neurons to DNN Neurons.

Neural computation Nov 21, 2017
Under the goal-driven paradigm, Yamins et al. ( 2014 ; Yamins & DiCarlo, 2016 ) have shown that by optimizing only the final eight-way categorization performance of a four-layer hierarchical network, not only can its top output layer quantitatively p...
Image Processing, Computer-Assisted Models, Neurological Action Potentials Neural Networks, Computer Animals Macaca mulatta Cerebral Cortex Statistics as Topic Visual Perception Neurons Pattern Recognition, Automated
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Graphical Interpretation and Analysis of Proteins and their Ontologies (GiaPronto): A One-Click Graph Visualization Software for Proteomics Data Sets.

Molecular & cellular proteomics : MCP Nov 8, 2017
Here we present a free interactive web tool to process and visualize proteomics data sets with a single click. GiaPronto can process all proteomics quantification methods, label-free, SILAC and isobaric labeling, and analyze post-translational modif...
Databases, Protein Quality Control Statistics as Topic User-Computer Interface Proteomics Humans Biomarkers Animals Software Gene Ontology
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Estimation and evaluation of linear individualized treatment rules to guarantee performance.

Biometrics Sep 28, 2017
In clinical practice, an informative and practically useful treatment rule should be simple and transparent. However, because simple rules are likely to be far from optimal, effective methods to construct such rules must guarantee performance, in ter...
Supervised Machine Learning Biometry Statistics as Topic Precision Medicine Depressive Disorder, Major Decision Support Techniques Computer Simulation Humans
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Diagnostic accuracy of an artificial neural network compared with statistical quantitation of myocardial perfusion images: a Japanese multicenter study.

European journal of nuclear medicine and molecular imaging Sep 26, 2017
PURPOSE: Artificial neural networks (ANN) might help to diagnose coronary artery disease. This study aimed to determine whether the diagnostic accuracy of an ANN-based diagnostic system and conventional quantitation are comparable.
Japan Statistics as Topic Myocardial Perfusion Imaging ROC Curve Image Processing, Computer-Assisted Humans Neural Networks, Computer Aged Male Female
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Post-boosting of classification boundary for imbalanced data using geometric mean.

Neural networks : the official journal of the International Neural Network Society Sep 14, 2017
In this paper, a novel imbalance learning method for binary classes is proposed, named as Post-Boosting of classification boundary for Imbalanced data (PBI), which can significantly improve the performance of any trained neural networks (NN) classifi...
Biometry Statistics as Topic Algorithms Neural Networks, Computer Machine Learning
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Sparse subspace clustering for data with missing entries and high-rank matrix completion.

Neural networks : the official journal of the International Neural Network Society Apr 25, 2017
Many methods have recently been proposed for subspace clustering, but they are often unable to handle incomplete data because of missing entries. Using matrix completion methods to recover missing entries is a common way to solve the problem. Convent...
Statistics as Topic Artificial Intelligence Cluster Analysis Algorithms Pattern Recognition, Automated Learning
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