AIMC Topic: Data Interpretation, Statistical

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Automated seizure detection using limited-channel EEG and non-linear dimension reduction.

Computers in biology and medicine Jan 25, 2017
Electroencephalography (EEG) is an essential component in evaluation of epilepsy. However, full-channel EEG signals recorded from 18 to 23 electrodes on the scalp is neither wearable nor computationally effective. This paper presents advantages of bo...
Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Sample Size Humans Machine Learning Algorithms Pattern Recognition, Automated Data Interpretation, Statistical Electroencephalography Seizures Nonlinear Dynamics
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Unsupervised frequency-recognition method of SSVEPs using a filter bank implementation of binary subband CCA.

Journal of neural engineering Jan 10, 2017
OBJECTIVE: Recently developed effective methods for detection commands of steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI) that need calibration for visual stimuli, which cause more time and fatigue prior to the use, ...
Humans Female Reproducibility of Results Pattern Recognition, Automated Brain-Computer Interfaces Evoked Potentials, Visual Statistics as Topic Unsupervised Machine Learning Brain Waves Data Interpretation, Statistical Adult Visual Perception Electroencephalography Visual Cortex Sensitivity and Specificity Signal Processing, Computer-Assisted Male
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Distinguishing between expert and statistical systems for application under ICH M7.

Regulatory toxicology and pharmacology : RTP Jan 3, 2017
Animals Risk Assessment Models, Statistical Data Interpretation, Statistical Patient Safety Drug Contamination Humans Computer Simulation Mutagenicity Tests Molecular Structure Reproducibility of Results Policy Making Expert Systems Mutagens Drug and Narcotic Control Quantitative Structure-Activity Relationship
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EEG artifacts reduction by multivariate empirical mode decomposition and multiscale entropy for monitoring depth of anaesthesia during surgery.

Medical & biological engineering & computing Dec 19, 2016
Electroencephalography (EEG) has been widely utilized to measure the depth of anaesthesia (DOA) during operation. However, the EEG signals are usually contaminated by artifacts which have a consequence on the measured DOA accuracy. In this study, an ...
Humans Entropy Neural Networks, Computer Consciousness Monitors Algorithms Intraoperative Neurophysiological Monitoring Artifacts Brain Models, Statistical Pattern Recognition, Automated Computer Simulation Data Interpretation, Statistical Multivariate Analysis Reproducibility of Results Electroencephalography Sensitivity and Specificity
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Dendritic spine classification using shape and appearance features based on two-photon microscopy.

Journal of neuroscience methods Dec 18, 2016
BACKGROUND: Neuronal morphology and function are highly coupled. In particular, dendritic spine morphology is strongly governed by the incoming neuronal activity. The first step towards understanding the structure-function relationships is to classif...
Dendritic Spines Machine Learning Animals Hippocampus Imaging, Three-Dimensional Pattern Recognition, Automated Mice Tissue Culture Techniques Microscopy, Confocal Data Interpretation, Statistical
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Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View.

Journal of medical Internet research Dec 16, 2016
BACKGROUND: As more and more researchers are turning to big data for new opportunities of biomedical discoveries, machine learning models, as the backbone of big data analysis, are mentioned more often in biomedical journals. However, owing to the in...
Biomedical Research Data Interpretation, Statistical Models, Biological Humans Interdisciplinary Studies Machine Learning
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Targeted Maximum Likelihood Estimation for Causal Inference in Observational Studies.

American journal of epidemiology Dec 9, 2016
Estimation of causal effects using observational data continues to grow in popularity in the epidemiologic literature. While many applications of causal effect estimation use propensity score methods or G-computation, targeted maximum likelihood esti...
Humans Machine Learning Confounding Factors, Epidemiologic Computer Simulation Epidemiologic Research Design Exercise Data Interpretation, Statistical Depression Bias Causality Propensity Score Observational Studies as Topic Likelihood Functions
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Revealing unobserved factors underlying cortical activity with a rectified latent variable model applied to neural population recordings.

Journal of neurophysiology Dec 7, 2016
The activity of sensory cortical neurons is not only driven by external stimuli but also shaped by other sources of input to the cortex. Unlike external stimuli, these other sources of input are challenging to experimentally control, or even observe,...
Cerebral Cortex Touch Perception Somatosensory Cortex Neural Networks, Computer Mice Animals Models, Neurological Data Interpretation, Statistical Neurons
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Tackling Missing Data in Community Health Studies Using Additive LS-SVM Classifier.

IEEE journal of biomedical and health informatics Dec 1, 2016
Missing data is a common issue in community health and epidemiological studies. Direct removal of samples with missing data can lead to reduced sample size and information bias, which deteriorates the significance of the results. While data imputatio...
Aged, 80 and over Male Quality of Life Public Health Support Vector Machine Data Interpretation, Statistical Least-Squares Analysis Medical Informatics Humans Databases, Factual Female Aged
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Automatic Construction and Global Optimization of a Multisentiment Lexicon.

Computational intelligence and neuroscience Nov 29, 2016
Manual annotation of sentiment lexicons costs too much labor and time, and it is also difficult to get accurate quantification of emotional intensity. Besides, the excessive emphasis on one specific field has greatly limited the applicability of doma...
Semantics Support Vector Machine Humans Neural Networks, Computer Natural Language Processing Algorithms Data Interpretation, Statistical Data Mining
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