AIMC Topic: Models, Statistical

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CD-Based Indices for Link Prediction in Complex Network.

PloS one Jan 11, 2016
Lots of similarity-based algorithms have been designed to deal with the problem of link prediction in the past decade. In order to improve prediction accuracy, a novel cosine similarity index CD based on distance between nodes and cosine value betwee...
Animals Computer Systems Models, Theoretical Cluster Analysis Algorithms Language Reproducibility of Results Politics Music Power Plants Electronic Mail Models, Statistical Aircraft Football Caenorhabditis elegans Humans Neural Networks, Computer Software
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Diagnosing Parkinson's Diseases Using Fuzzy Neural System.

Computational and mathematical methods in medicine Jan 10, 2016
This study presents the design of the recognition system that will discriminate between healthy people and people with Parkinson's disease. A diagnosing of Parkinson's diseases is performed using fusion of the fuzzy system and neural networks. The st...
Models, Statistical Acoustics Pattern Recognition, Automated Diagnosis, Computer-Assisted Fuzzy Logic Parkinson Disease Humans Neural Networks, Computer Machine Learning Algorithms Computer Simulation
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Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach.

Journal of affective disorders Jan 1, 2016
OBJECTIVE: A growing body of evidence has put forward clinical risk factors associated with patients with mood disorders that attempt suicide. However, what is not known is how to integrate clinical variables into a clinically useful tool in order to...
Humans Reproducibility of Results Risk Factors Aged Young Adult Machine Learning Algorithms Female Adolescent Suicide Prevention Models, Statistical Mood Disorders Risk Assessment Comorbidity Suicide, Attempted Pilot Projects Adult Male Middle Aged
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Bayesian network modeling: A case study of an epidemiologic system analysis of cardiovascular risk.

Computer methods and programs in biomedicine Dec 30, 2015
An extensive, in-depth study of cardiovascular risk factors (CVRF) seems to be of crucial importance in the research of cardiovascular disease (CVD) in order to prevent (or reduce) the chance of developing or dying from CVD. The main focus of data an...
Cardiovascular System Models, Cardiovascular Models, Statistical Female Humans Bayes Theorem Cardiovascular Diseases Risk Factors Body Weight Middle Aged Adult Artificial Intelligence Smoking Body Mass Index Algorithms Male
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Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification.

Computational intelligence and neuroscience Dec 22, 2015
Motor imagery electroencephalography is widely used in the brain-computer interface systems. Due to inherent characteristics of electroencephalography signals, accurate and real-time multiclass classification is always challenging. In order to solve ...
Algorithms Brain-Computer Interfaces Models, Statistical Humans Movement Imagination Databases, Factual Electroencephalography Support Vector Machine Probability Models, Neurological
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GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran.

Environmental monitoring and assessment Dec 19, 2015
Groundwater is considered one of the most valuable fresh water resources. The main objective of this study was to produce groundwater spring potential maps in the Koohrang Watershed, Chaharmahal-e-Bakhtiari Province, Iran, using three machine learnin...
Water Resources Geology Models, Statistical Decision Trees Iran Rivers Models, Theoretical Groundwater Environmental Monitoring Machine Learning Geographic Information Systems ROC Curve
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Stabilizing l1-norm prediction models by supervised feature grouping.

Journal of biomedical informatics Dec 9, 2015
Emerging Electronic Medical Records (EMRs) have reformed the modern healthcare. These records have great potential to be used for building clinical prediction models. However, a problem in using them is their high dimensionality. Since a lot of infor...
Humans Electronic Health Records Models, Statistical Supervised Machine Learning Medical Informatics
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Fuzzy State Transition and Kalman Filter Applied in Short-Term Traffic Flow Forecasting.

Computational intelligence and neuroscience Dec 8, 2015
Traffic flow is widely recognized as an important parameter for road traffic state forecasting. Fuzzy state transform and Kalman filter (KF) have been applied in this field separately. But the studies show that the former method has good performance ...
Automobiles Models, Statistical Bayes Theorem Forecasting China Algorithms Fuzzy Logic
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Supporting systematic reviews using LDA-based document representations.

Systematic reviews Nov 26, 2015
BACKGROUND: Identifying relevant studies for inclusion in a systematic review (i.e. screening) is a complex, laborious and expensive task. Recently, a number of studies has shown that the use of machine learning and text mining methods to automatical...
Humans Models, Statistical Biomedical Research Review Literature as Topic Support Vector Machine Data Mining Decision Making, Computer-Assisted
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Cough event classification by pretrained deep neural network.

BMC medical informatics and decision making Nov 25, 2015
BACKGROUND: Cough is an essential symptom in respiratory diseases. In the measurement of cough severity, an accurate and objective cough monitor is expected by respiratory disease society. This paper aims to introduce a better performed algorithm, pr...
Neural Networks, Computer Algorithms Severity of Illness Index Models, Statistical Humans Cough Datasets as Topic Normal Distribution
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