AIMC Topic:
Bayes Theorem

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A hierarchical model for integrating unsupervised generative embedding and empirical Bayes.

Journal of neuroscience methods Apr 30, 2016
BACKGROUND: Generative models of neuroimaging data, such as dynamic causal models (DCMs), are commonly used for inferring effective connectivity from individual subject data. Recently introduced "generative embedding" approaches have used DCM-based c...
Female Reproducibility of Results Adult Male Magnetic Resonance Imaging Humans Software Brain Computer Simulation Bayes Theorem Schizophrenia Markov Chains Neuroimaging Monte Carlo Method Cluster Analysis Models, Neurological Models, Statistical Unsupervised Machine Learning
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Incorporating organelle correlations into semi-supervised learning for protein subcellular localization prediction.

Bioinformatics (Oxford, England) Apr 23, 2016
MOTIVATION: Bioimages of subcellular protein distribution as a new data source have attracted much attention in the field of automated prediction of proteins subcellular localization. Performance of existing systems is significantly limited by the sm...
Humans Algorithms Computational Biology Bayes Theorem Protein Transport Fluorescent Antibody Technique Organelles Supervised Machine Learning Immunohistochemistry
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Sparse Bayesian Learning for Obtaining Sparsity of EEG Frequency Bands Based Feature Vectors in Motor Imagery Classification.

International journal of neural systems Apr 11, 2016
Effective common spatial pattern (CSP) feature extraction for motor imagery (MI) electroencephalogram (EEG) recordings usually depends on the filter band selection to a large extent. Subband optimization has been suggested to enhance classification a...
Humans Machine Learning Algorithms Brain Time Factors Linear Models Bayes Theorem Brain-Computer Interfaces Discriminant Analysis Motor Activity Electroencephalography Imagination Datasets as Topic
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Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting.

Journal of biomedical informatics Mar 16, 2016
Models for predicting the probability of experiencing various health outcomes or adverse events over a certain time frame (e.g., having a heart attack in the next 5years) based on individual patient characteristics are important tools for managing pa...
Bayes Theorem Machine Learning Probability Algorithms Humans Electronic Health Records Cluster Analysis
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PDP-CON: prediction of domain/linker residues in protein sequences using a consensus approach.

Journal of molecular modeling Mar 11, 2016
The prediction of domain/linker residues in protein sequences is a crucial task in the functional classification of proteins, homology-based protein structure prediction, and high-throughput structural genomics. In this work, a novel consensus-based ...
Structural Homology, Protein Caspase 10 Humans Caspase 8 Neural Networks, Computer Discriminant Analysis Decision Trees Protein Domains Databases, Protein Computational Biology Caspase 9 Bayes Theorem Support Vector Machine Sequence Analysis, Protein
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Network-Based Identification and Prioritization of Key Regulators of Coronary Artery Disease Loci.

Arteriosclerosis, thrombosis, and vascular biology Mar 10, 2016
OBJECTIVE: Recent genome-wide association studies of coronary artery disease (CAD) have revealed 58 genome-wide significant and 148 suggestive genetic loci. However, the molecular mechanisms through which they contribute to CAD and the clinical impli...
Signal Transduction Databases, Genetic Bayes Theorem Coronary Artery Disease Mice Genomics Genetic Predisposition to Disease Computational Biology STAT3 Transcription Factor Genetic Loci Gene Expression Regulation Lumican Neural Networks, Computer Phenotype Computer Simulation Animals Genome-Wide Association Study Protein Interaction Maps Gene Regulatory Networks Gene Expression Profiling Case-Control Studies Humans
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Diagnosis of Acute Coronary Syndrome with a Support Vector Machine.

Journal of medical systems Jan 27, 2016
Acute coronary syndrome (ACS) is a serious condition arising from an imbalance of supply and demand to meet myocardium's metabolic needs. Patients typically present with retrosternal chest pain radiating to neck and left arm. Electrocardiography (ECG...
Male Sex Factors Middle Aged Acute Coronary Syndrome Humans Risk Factors Troponin I Age Factors Decision Support Systems, Clinical Neural Networks, Computer Aged Creatine Kinase, MB Form Electrocardiography Bayes Theorem Logistic Models Female Aged, 80 and over Chest Pain Support Vector Machine Adult Reproducibility of Results
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Classification of clinically useful sentences in clinical evidence resources.

Journal of biomedical informatics Jan 13, 2016
UNLABELLED: Most patient care questions raised by clinicians can be answered by online clinical knowledge resources. However, important barriers still challenge the use of these resources at the point of care.
Semantics Humans Natural Language Processing Algorithms Terminology as Topic MEDLINE Bayes Theorem Language Unified Medical Language System Supervised Machine Learning Decision Support Systems, Clinical Information Storage and Retrieval
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A class of joint models for multivariate longitudinal measurements and a binary event.

Biometrics Jan 11, 2016
Predicting binary events such as newborns with large birthweight is important for obstetricians in their attempt to reduce both maternal and fetal morbidity and mortality. Such predictions have been a challenge in obstetric practice, where longitudin...
Infant, Newborn Sweden Ultrasonography Pregnancy Outcome Bayes Theorem Markov Chains Infant, Low Birth Weight Longitudinal Studies Models, Statistical Humans Gestational Age Machine Learning Monte Carlo Method Pregnancy Norway Female
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Intelligent Condition Diagnosis Method Based on Adaptive Statistic Test Filter and Diagnostic Bayesian Network.

Sensors (Basel, Switzerland) Jan 8, 2016
A new fault diagnosis method for rotating machinery based on adaptive statistic test filter (ASTF) and Diagnostic Bayesian Network (DBN) is presented in this paper. ASTF is proposed to obtain weak fault features under background noise, ASTF is based ...
Algorithms Bayes Theorem Signal Processing, Computer-Assisted Industry Artificial Intelligence
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