AIMC Topic: Models, Statistical

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Detection of Fake News Text Classification on COVID-19 Using Deep Learning Approaches.

Computational and mathematical methods in medicine Nov 15, 2021
A vast amount of data is generated every second for microblogs, content sharing via social media sites, and social networking. Twitter is an essential popular microblog where people voice their opinions about daily issues. Recently, analyzing these o...
Bayes Theorem Deep Learning Computational Biology Social Networking Algorithms Logistic Models Databases, Factual Support Vector Machine SARS-CoV-2 Disinformation Models, Statistical Humans Decision Trees Neural Networks, Computer Social Media COVID-19 Natural Language Processing
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Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model.

Computational intelligence and neuroscience Nov 12, 2021
Based on the BP neural network and the ARIMA model, this paper predicts the nonlinear residual of GDP and adds the predicted values of the two models to obtain the final predicted value of the model. First, the focus is on the ARMA model in the univa...
Algorithms Forecasting Models, Statistical Neural Networks, Computer
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Machine learning random forest for predicting oncosomatic variant NGS analysis.

Scientific reports Nov 8, 2021
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analyzing variants at each run requires considerable time, and we are still struggling with some variants that appear correct on the metrics at first, but ...
Oncogenes ROC Curve Polymorphism, Single Nucleotide Computational Biology Databases, Genetic Models, Statistical Algorithms Genetic Variation Biomarkers, Tumor High-Throughput Nucleotide Sequencing Humans Neoplasms INDEL Mutation Neural Networks, Computer Deep Learning Machine Learning
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Chemometric analysis in Raman spectroscopy from experimental design to machine learning-based modeling.

Nature protocols Nov 5, 2021
Raman spectroscopy is increasingly being used in biology, forensics, diagnostics, pharmaceutics and food science applications. This growth is triggered not only by improvements in the computational and experimental setups but also by the development ...
Principal Component Analysis Data Interpretation, Statistical Datasets as Topic Calibration Reference Standards Chemometrics Animals Mice Spectrum Analysis, Raman Models, Statistical Humans Machine Learning
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Identification of stress response proteins through fusion of machine learning models and statistical paradigms.

Scientific reports Nov 5, 2021
Proteins are a vital component of cells that perform physiological functions to ensure smooth operations of bodily functions. Identification of a protein's function involves a detailed understanding of the structure of proteins. Stress proteins are e...
Models, Statistical Proteins Stress, Physiological Machine Learning Software
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Spatio-temporal prediction of the COVID-19 pandemic in US counties: modeling with a deep LSTM neural network.

Scientific reports Nov 5, 2021
Prediction of complex epidemiological systems such as COVID-19 is challenging on many grounds. Commonly used compartmental models struggle to handle an epidemiological process that evolves rapidly and is spatially heterogeneous. On the other hand, ma...
Humans Neural Networks, Computer Machine Learning COVID-19 Time Factors United States Models, Statistical Population Dynamics Algorithms Reproducibility of Results SARS-CoV-2 Deep Learning Monte Carlo Method Geography Public Health Informatics
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Environmental sound classification using temporal-frequency attention based convolutional neural network.

Scientific reports Nov 3, 2021
Environmental sound classification is one of the important issues in the audio recognition field. Compared with structured sounds such as speech and music, the time-frequency structure of environmental sounds is more complicated. In order to learn ti...
Motivation Semantics Music Recognition, Psychology Learning Speech Models, Theoretical Models, Statistical Humans Neural Networks, Computer Noise Algorithms Acoustics Research Design Sound Attention
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Predicting increases in COVID-19 incidence to identify locations for targeted testing in West Virginia: A machine learning enhanced approach.

PloS one Nov 3, 2021
During the COVID-19 pandemic, West Virginia developed an aggressive SARS-CoV-2 testing strategy which included utilizing pop-up mobile testing in locations anticipated to have near-term increases in SARS-CoV-2 infections. This study describes and com...
Machine Learning COVID-19 Forecasting Incidence Rural Population Models, Statistical West Virginia Humans Predictive Value of Tests COVID-19 Testing
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Estimating the COVID-19 prevalence and mortality using a novel data-driven hybrid model based on ensemble empirical mode decomposition.

Scientific reports Nov 1, 2021
In this study, we proposed a new data-driven hybrid technique by integrating an ensemble empirical mode decomposition (EEMD), an autoregressive integrated moving average (ARIMA), with a nonlinear autoregressive artificial neural network (NARANN), cal...
Humans Neural Networks, Computer Pandemics COVID-19 Models, Statistical South Africa Data Accuracy Forecasting Uncertainty SARS-CoV-2 Prevalence Nigeria
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Image Enhancement Model Based on Deep Learning Applied to the Ureteroscopic Diagnosis of Ureteral Stones during Pregnancy.

Computational and mathematical methods in medicine Oct 29, 2021
OBJECTIVE: To explore the image enhancement model based on deep learning on the effect of ureteroscopy with double J tube placement and drainage on ureteral stones during pregnancy. We compare the clinical effect of ureteroscopy with double J tube pl...
Humans Deep Learning Ureteroscopy Ultrasonography Ureteral Calculi Computational Biology Lithotripsy Artifacts Models, Statistical Pregnancy Complications Neural Networks, Computer Image Enhancement Pregnancy Female Diagnosis, Computer-Assisted
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