AIMC Topic:
Databases, Factual

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Recurrent convolutional neural kernel model for stock price movement prediction.

PloS one Jun 12, 2020
Stock price movement prediction plays important roles in decision making for investors. It was usually regarded as a binary classification task. In this paper, a recurrent convolutional neural kernel (RCNK) model was proposed, which learned complemen...
Models, Economic Public Opinion Investments Humans Neural Networks, Computer Databases, Factual China
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Machine-learning-based diagnostics of EEG pathology.

NeuroImage Jun 10, 2020
Machine learning (ML) methods have the potential to automate clinical EEG analysis. They can be categorized into feature-based (with handcrafted features), and end-to-end approaches (with learned features). Previous studies on EEG pathology decoding ...
Brain-Computer Interfaces Child Electroencephalography Signal Processing, Computer-Assisted Brain Diseases Aged, 80 and over Young Adult Adult Male Middle Aged Infant Adolescent Child, Preschool Brain Female Infant, Newborn Aged Humans Machine Learning Databases, Factual
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Past and present of computer-assisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions.

European journal of cancer (Oxford, England : 1990) Jun 10, 2020
BACKGROUND: Convolutional neural networks (CNNs) have shown a dermatologist-level performance in the classification of skin lesions. We aimed to deliver a head-to-head comparison of a conventional image analyser (CIA), which depends on segmentation a...
Humans Image Interpretation, Computer-Assisted Databases, Factual Prospective Studies Dermoscopy Young Adult Reproducibility of Results Adult Prognosis Aged Deep Learning Cross-Sectional Studies Middle Aged Female Aged, 80 and over Adolescent Diagnosis, Computer-Assisted Melanoma Male Predictive Value of Tests Skin Neoplasms
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The value of artificial neural networks for predicting length of stay, discharge disposition, and inpatient costs after anatomic and reverse shoulder arthroplasty.

Journal of shoulder and elbow surgery Jun 9, 2020
HYPOTHESIS/PURPOSE: The objective is to develop and validate an artificial intelligence model, specifically an artificial neural network (ANN), to predict length of stay (LOS), discharge disposition, and inpatient charges for primary anatomic total (...
ROC Curve Models, Statistical Patient Discharge Osteoarthritis Male Middle Aged Postoperative Complications Length of Stay Female Neural Networks, Computer Humans Hospital Costs Shoulder Injuries Reproducibility of Results Machine Learning Hospital Charges Aged Forecasting Arthroplasty, Replacement, Shoulder Aged, 80 and over Databases, Factual Hemiarthroplasty
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Analyzing Factors Associated with Fatal Road Crashes: A Machine Learning Approach.

International journal of environmental research and public health Jun 9, 2020
Road traffic injury accounts for a substantial human and economic burden globally. Understanding risk factors contributing to fatal injuries is of paramount importance. In this study, we proposed a model that adopts a hybrid ensemble machine learning...
Humans Machine Learning Data Analysis Databases, Factual Risk Factors Accidents, Traffic Wounds and Injuries
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Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).

Molecular pharmaceutics Jun 8, 2020
Drug-induced liver injury (DILI) is one the most unpredictable adverse reactions to xenobiotics in humans and the leading cause of postmarketing withdrawals of approved drugs. To date, these drugs have been collated by the FDA to form the DILIRank da...
Humans Drug-Related Side Effects and Adverse Reactions Chemical and Drug Induced Liver Injury Databases, Factual Drug Approval Machine Learning Databases, Pharmaceutical Computer Simulation Software Biopharmaceutics Liver Algorithms Bayes Theorem
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CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images.

Computer methods and programs in biomedicine Jun 5, 2020
BACKGROUND AND OBJECTIVE: The novel Coronavirus also called COVID-19 originated in Wuhan, China in December 2019 and has now spread across the world. It has so far infected around 1.8 million people and claimed approximately 114,698 lives overall. As...
Coronavirus Infections False Positive Reactions Radiography, Thoracic Betacoronavirus Pneumonia, Viral Humans Reproducibility of Results Neural Networks, Computer SARS-CoV-2 Software Deep Learning Radiographic Image Interpretation, Computer-Assisted Pandemics COVID-19 Algorithms Databases, Factual
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Matrix factorization with neural network for predicting circRNA-RBP interactions.

BMC bioinformatics Jun 5, 2020
BACKGROUND: Circular RNA (circRNA) has been extensively identified in cells and tissues, and plays crucial roles in human diseases and biological processes. circRNA could act as dynamic scaffolding molecules that modulate protein-protein interactions...
Humans Neural Networks, Computer Databases, Factual Neoplasms Cell Line, Tumor ROC Curve RNA-Binding Proteins Area Under Curve RNA, Circular
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Borrowing external information to improve Bayesian confidence propagation neural network.

European journal of clinical pharmacology Jun 1, 2020
PURPOSE: A Bayesian confidence propagation neural network (BCPNN) is a signal detection method used by the World Health Organization Uppsala Monitoring Centre to analyze spontaneous reporting system databases. We modify the BCPNN to increase its sens...
Bayes Theorem Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems Humans Neural Networks, Computer Databases, Factual Computer Simulation
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Detecting cardiac pathologies via machine learning on heart-rate variability time series and related markers.

Scientific reports Jun 1, 2020
In this paper we develop statistical algorithms to infer possible cardiac pathologies, based on data collected from 24 h Holter recording over a sample of 2829 labelled patients; labels highlight whether a patient is suffering from cardiac pathologie...
Principal Component Analysis Heart Failure Atrial Fibrillation Heart Rate Humans Machine Learning Databases, Factual Biomarkers Cluster Analysis
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