AIMC Topic: Databases as Topic

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Risk mitigation in algorithmic accountability: The role of machine learning copies.

PloS one Nov 3, 2020
Machine learning plays an increasingly important role in our society and economy and is already having an impact on our daily life in many different ways. From several perspectives, machine learning is seen as the new engine of productivity and econo...
Risk Reduction Behavior Logistic Models Models, Theoretical Databases as Topic Humans Machine Learning Algorithms
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Issues associated with deploying CNN transfer learning to detect COVID-19 from chest X-rays.

Physical and engineering sciences in medicine Oct 6, 2020
Covid-19 first occurred in Wuhan, China in December 2019. Subsequently, the virus spread throughout the world and as of June 2020 the total number of confirmed cases are above 4.7 million with over 315,000 deaths. Machine learning algorithms built on...
COVID-19 SARS-CoV-2 Deep Learning Humans Neural Networks, Computer Databases as Topic Thorax Image Processing, Computer-Assisted X-Rays Artifacts Confidence Intervals
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Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram.

Nature communications Aug 7, 2020
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead electrocardiogram (ECG) is readily available during initial patient evaluation, but current rule-based interpretation approaches lack sufficient accurac...
Middle Aged Reference Standards Hospitals Algorithms ROC Curve Humans Electrocardiography Female Machine Learning Acute Coronary Syndrome Male Databases as Topic
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Action-specialized expert ensemble trading system with extended discrete action space using deep reinforcement learning.

PloS one Jul 27, 2020
Despite active research on trading systems based on reinforcement learning, the development and performance of research methods require improvements. This study proposes a new action-specialized expert ensemble method consisting of action-specialized...
Neural Networks, Computer Algorithms Reinforcement, Psychology Databases as Topic Deep Learning Commerce Time Factors Investments Models, Economic
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A hybrid unsupervised-Deep learning tandem for electrooculography time series analysis.

PloS one Jul 21, 2020
Medical data are often tricky to get mined for patterns even by the generally demonstrated successful modern methodologies of deep learning. This paper puts forward such a medical classification task, where patient registers of two of the categories ...
Cluster Analysis Unsupervised Machine Learning Databases as Topic Photic Stimulation Electrooculography Saccades Algorithms Deep Learning Time Factors Humans Neural Networks, Computer
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Recurrent probabilistic neural network-based short-term prediction for acute hypotension and ventricular fibrillation.

Scientific reports Jul 20, 2020
In this paper, we propose a novel method for predicting acute clinical deterioration triggered by hypotension, ventricular fibrillation, and an undiagnosed multiple disease condition using biological signals, such as heart rate, RR interval, and bloo...
Humans Neural Networks, Computer Time Factors Heart Rate Probability Databases as Topic Blood Pressure Acute Disease Hypotension Ventricular Fibrillation
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Non - invasive modelling methodology for the diagnosis of coronary artery disease using fuzzy cognitive maps.

Computer methods in biomechanics and biomedical engineering May 20, 2020
Cardiovascular diseases (CVD) and strokes produce immense health and economic burdens globally. Coronary Artery Disease (CAD) is the most common type of cardiovascular disease. Coronary Angiography, which is an invasive approach for detection and tre...
Databases as Topic Models, Cardiovascular Decision Support Systems, Clinical Fuzzy Logic Coronary Artery Disease Female Male ROC Curve Humans Algorithms
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OtoMatch: Content-based eardrum image retrieval using deep learning.

PloS one May 15, 2020
Acute infections of the middle ear are the most commonly treated childhood diseases. Because complications affect children's language learning and cognitive processes, it is essential to diagnose these diseases in a timely and accurate manner. The pr...
Image Processing, Computer-Assisted Databases as Topic Information Storage and Retrieval Tympanic Membrane Adult Humans Deep Learning Algorithms Child Reproducibility of Results
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Privileged Scaffold Analysis of Natural Products with Deep Learning-based Indication Prediction Model.

Molecular informatics May 14, 2020
Natural products play a vital role in the drug discovery and development process as an important source of reliable and novel lead structures. But the existing criteria for drug leads were usually developed for synthetic compounds and cannot be direc...
Area Under Curve Models, Molecular Databases as Topic Deep Learning ROC Curve Biological Products Antihypertensive Agents
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Analysis of Feature Extraction Methods for Prediction of 30-Day Hospital Readmissions.

Methods of information in medicine Apr 29, 2020
OBJECTIVES:  This article aims to determine possible improvements made by feature extraction methods to the machine learning prediction methods for predicting 30-day hospital readmissions.
Patient Readmission Algorithms Humans Risk Factors Databases as Topic Machine Learning Information Storage and Retrieval Area Under Curve
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