AIMC Topic: Data Interpretation, Statistical

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Real alerts and artifact classification in archived multi-signal vital sign monitoring data: implications for mining big data.

Journal of clinical monitoring and computing Oct 5, 2015
Huge hospital information system databases can be mined for knowledge discovery and decision support, but artifact in stored non-invasive vital sign (VS) high-frequency data streams limits its use. We used machine-learning (ML) algorithms trained on ...
Artifacts Male Female Risk Middle Aged Aged Decision Support Systems, Clinical Adult Vital Signs Humans Data Interpretation, Statistical Data Mining Machine Learning Heart Rate Algorithms Hospital Information Systems Oscillometry Monitoring, Physiologic Clinical Alarms Blood Pressure Area Under Curve
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A bifurcation identifier for IV-OCT using orthogonal least squares and supervised machine learning.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 21, 2015
Intravascular optical coherence tomography (IV-OCT) is an in-vivo imaging modality based on the intravascular introduction of a catheter which provides a view of the inner wall of blood vessels with a spatial resolution of 10-20 μm. Recent studies in...
Humans Reproducibility of Results Supervised Machine Learning Image Interpretation, Computer-Assisted Tomography, Optical Coherence Pattern Recognition, Automated Sensitivity and Specificity Image Enhancement Least-Squares Analysis Data Interpretation, Statistical Coronary Artery Disease Radiography
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Computer-Aided Diagnosis System for Alzheimer's Disease Using Different Discrete Transform Techniques.

American journal of Alzheimer's disease and other dementias Sep 14, 2015
The different discrete transform techniques such as discrete cosine transform (DCT), discrete sine transform (DST), discrete wavelet transform (DWT), and mel-scale frequency cepstral coefficients (MFCCs) are powerful feature extraction techniques. Th...
Diagnosis, Computer-Assisted Support Vector Machine Data Interpretation, Statistical Alzheimer Disease Humans Algorithms
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Classifying Regularized Sensor Covariance Matrices: An Alternative to CSP.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 10, 2015
Common spatial patterns (CSP) is a commonly used technique for classifying imagined movement type brain-computer interface (BCI) datasets. It has been very successful with many extensions and improvements on the basic technique. However, a drawback o...
Electroencephalography Pattern Recognition, Automated Brain-Computer Interfaces Reproducibility of Results Sensitivity and Specificity Machine Learning Signal-To-Noise Ratio Data Interpretation, Statistical Algorithms
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Unified-theory-of-reinforcement neural networks do not simulate the blocking effect.

Behavioural processes Aug 28, 2015
For the last 20 years the unified theory of reinforcement (Donahoe et al., 1993) has been used to develop computer simulations to evaluate its plausibility as an account for behavior. The unified theory of reinforcement states that operant and respon...
Computer Simulation Data Interpretation, Statistical Reinforcement, Psychology Conditioning, Classical Conditioning, Operant Reinforcement Schedule Neural Networks, Computer
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CRFs based de-identification of medical records.

Journal of biomedical informatics Aug 24, 2015
De-identification is a shared task of the 2014 i2b2/UTHealth challenge. The purpose of this task is to remove protected health information (PHI) from medical records. In this paper, we propose a novel de-identifier, WI-deId, based on conditional rand...
Narration Natural Language Processing Data Interpretation, Statistical Electronic Health Records China Cohort Studies Computer Security Vocabulary, Controlled Confidentiality Data Mining Pattern Recognition, Automated
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Rediscovery of Good-Turing estimators via Bayesian nonparametrics.

Biometrics Jul 29, 2015
The problem of estimating discovery probabilities originated in the context of statistical ecology, and in recent years it has become popular due to its frequent appearance in challenging applications arising in genetics, bioinformatics, linguistics,...
Algorithms Computer Simulation Sequence Analysis, DNA Models, Statistical Data Interpretation, Statistical Bayes Theorem Machine Learning Pattern Recognition, Automated Expressed Sequence Tags
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Maximum margin semi-supervised learning with irrelevant data.

Neural networks : the official journal of the International Neural Network Society Jul 15, 2015
Semi-supervised learning (SSL) is a typical learning paradigms training a model from both labeled and unlabeled data. The traditional SSL models usually assume unlabeled data are relevant to the labeled data, i.e., following the same distributions of...
Supervised Machine Learning Entropy Models, Neurological Models, Statistical Artificial Intelligence Data Interpretation, Statistical Algorithms Image Processing, Computer-Assisted Support Vector Machine
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A literature-driven method to calculate similarities among diseases.

Computer methods and programs in biomedicine Jul 9, 2015
BACKGROUND: "Our lives are connected by a thousand invisible threads and along these sympathetic fibers, our actions run as causes and return to us as results". It is Herman Melville's famous quote describing connections among human lives. To paraphr...
Meta-Analysis as Topic Periodicals as Topic Algorithms Data Mining Biological Ontologies Symptom Assessment Genetic Predisposition to Disease Humans Disease Data Interpretation, Statistical
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Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs.

Neural networks : the official journal of the International Neural Network Society Jul 8, 2015
Support Vector Machines (SVMs) form a family of popular classifier algorithms originally developed to solve two-class classification problems. However, SVMs are likely to perform poorly in situations with data imbalance between the classes, particula...
Artifacts Datasets as Topic Support Vector Machine Data Interpretation, Statistical Bayes Theorem Algorithms
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