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Databases, Factual

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Real-time frequency-independent single-Lead and single-beat myocardial infarction detection.

Artificial intelligence in medicine Oct 1, 2021
This study proposes a novel real-time frequency-independent myocardial infarction detector for Lead II electrocardiograms. The underlying Deep-LSTM network is trained using the PTB-XL database, the largest to date publicly available electrocardiograp...
Humans Electrocardiography Signal Processing, Computer-Assisted Myocardial Infarction Neural Networks, Computer Algorithms Databases, Factual
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A Large-Scale Fully Annotated Low-Cost Microscopy Image Dataset for Deep Learning Framework.

IEEE transactions on nanobioscience Sep 30, 2021
This work presents a large-scale three-fold annotated, low-cost microscopy image dataset of potato tubers for plant cell analysis in deep learning (DL) framework which has huge potential in the advancement of plant cell biology research. Indeed, low-...
Image Processing, Computer-Assisted Microscopy Databases, Factual Deep Learning
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Prediction of Reaction Yield for Buchwald-Hartwig Cross-coupling Reactions Using Deep Learning.

Molecular informatics Sep 29, 2021
Chemical reaction yield is one of the most important factors for determining reaction conditions. Recently, several machine learning-based prediction models using high-throughput experiment (HTE) data sets were reported for the prediction of reaction...
Databases, Factual Deep Learning Neural Networks, Computer Machine Learning
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A Novel Medical Image Denoising Method Based on Conditional Generative Adversarial Network.

Computational and mathematical methods in medicine Sep 28, 2021
Medical image quality is highly relative to clinical diagnosis and treatment, leading to a popular research topic of medical image denoising. Image denoising based on deep learning methods has attracted considerable attention owing to its excellent a...
Tomography, X-Ray Computed Signal-To-Noise Ratio Algorithms Lung Deep Learning Humans Databases, Factual Computational Biology Neural Networks, Computer Computer Simulation Image Interpretation, Computer-Assisted
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Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods.

PloS one Sep 27, 2021
Identification of medical conditions using claims data is generally conducted with algorithms based on subject-matter knowledge. However, these claims-based algorithms (CBAs) are highly dependent on the knowledge level and not necessarily optimized f...
Retrospective Studies Female Male Middle Aged Hypertension Machine Learning Algorithms Databases, Factual Humans Neural Networks, Computer Chronic Disease Dyslipidemias Insurance Claim Review Diabetes Mellitus Support Vector Machine
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Machine learning methods for prediction of food effects on bioavailability: A comparison of support vector machines and artificial neural networks.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences Sep 24, 2021
Despite countless advances in recent decades across various in vitro, in vivo and in silico tools, anticipation of whether a drug will show a human food effect (FE) remains challenging. One means to predict potential FE involves probing any dependenc...
Humans Algorithms Databases, Factual Support Vector Machine Neural Networks, Computer Machine Learning
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Predicting ecological footprint based on global macro indicators in G-20 countries using machine learning approaches.

Environmental science and pollution research international Sep 21, 2021
Paying attention to human activities in terms of land grazing infrastructure, crops, forest products, and carbon impact, the so-called ecological impact (EF) is one of the most important economic issues in the world. For the present study, global dat...
Neural Networks, Computer Machine Learning Databases, Factual Linear Models Anthropogenic Effects
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An Approach for Thoracic Syndrome Classification with Convolutional Neural Networks.

Computational and mathematical methods in medicine Sep 20, 2021
There have been remarkable changes in our lives and the way we perceive the world with advances in computing technology. Healthcare sector is evolving with the intervention of the latest computer-driven technology and has made a remarkable change in ...
Neural Networks, Computer Machine Learning Radiography, Thoracic Databases, Factual Computational Biology Stochastic Processes Humans Thoracic Diseases Radiographic Image Interpretation, Computer-Assisted Syndrome
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Evaluating Deep Neural Network Architectures with Transfer Learning for Pneumonitis Diagnosis.

Computational and mathematical methods in medicine Sep 12, 2021
Pneumonitis is an infectious disease that causes the inflammation of the air sac. It can be life-threatening to the very young and elderly. Detection of pneumonitis from X-ray images is a significant challenge. Early detection and assistance with dia...
Pneumonia Radiographic Image Interpretation, Computer-Assisted Deep Learning Computational Biology Humans Neural Networks, Computer COVID-19 Algorithms Databases, Factual SARS-CoV-2
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Gastrointestinal Tract Disease Classification from Wireless Endoscopy Images Using Pretrained Deep Learning Model.

Computational and mathematical methods in medicine Sep 11, 2021
Wireless capsule endoscopy is a noninvasive wireless imaging technology that becomes increasingly popular in recent years. One of the major drawbacks of this technology is that it generates a large number of photos that must be analyzed by medical pe...
Capsule Endoscopy Gastrointestinal Diseases Norway Image Interpretation, Computer-Assisted Gastrointestinal Tract Wireless Technology Neural Networks, Computer Algorithms Databases, Factual Deep Learning Computational Biology Humans
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