AIMC Topic: Bayes Theorem

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Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images.

Computers in biology and medicine Jul 29, 2021
Chest X-ray images are used in deep convolutional neural networks for the detection of COVID-19, the greatest human challenge of the 21st century. Robustness to noise and improvement of generalization are the major challenges in designing these netwo...
Radiography, Thoracic X-Rays Deep Learning Bayes Theorem Humans SARS-CoV-2 COVID-19
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Copula-Based Data Augmentation on a Deep Learning Architecture for Cardiac Sensor Fusion.

IEEE journal of biomedical and health informatics Jul 27, 2021
In the wake of Big Data, traditional Machine Learning techniques are now often integrated in the clinical workflow. Despite more capable, Deep Learning methods are not equally accepted given their unsatiated need for great amounts of training data an...
Humans Deep Learning Bayes Theorem Artifacts Neural Networks, Computer Machine Learning
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A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors.

CPT: pharmacometrics & systems pharmacology Jul 26, 2021
Model-informed precision dosing (MIPD) approaches typically apply maximum a posteriori (MAP) Bayesian estimation to determine individual pharmacokinetic (PK) parameters with the goal of optimizing future dosing regimens. This process combines knowled...
Vancomycin Drug Dosage Calculations Bayes Theorem Models, Biological Pharmacokinetics Aged Aged, 80 and over Male Middle Aged Adult Anti-Bacterial Agents Female Humans Machine Learning
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Bayesian Fully Convolutional Networks for Brain Image Registration.

Journal of healthcare engineering Jul 26, 2021
The purpose of medical image registration is to find geometric transformations that align two medical images so that the corresponding voxels on two images are spatially consistent. Nonrigid medical image registration is a key step in medical image p...
Magnetic Resonance Imaging Brain Uncertainty Humans Bayes Theorem Image Processing, Computer-Assisted Neural Networks, Computer
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Prioritization of zero-carbon measures for sustainable urban mobility using integrated double hierarchy decision framework and EDAS approach.

The Science of the total environment Jul 17, 2021
Zero-carbon is the current buzzword triggering the minds of every people in the world. The current pandemic situation has given the world an alarm to act towards the reduction/eradication of carbon footprint. Developing countries like India are striv...
Carbon Decision Making Carbon Footprint Humans Bayes Theorem Fuzzy Logic
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Bayesian Modeling for the Detection of Adverse Events Underreporting in Clinical Trials.

Drug safety Jul 14, 2021
INTRODUCTION: Safety underreporting is a recurrent issue in clinical trials that can impact patient safety and data integrity. Clinical quality assurance (QA) practices used to detect underreporting rely on on-site audits; however, adverse events (AE...
Machine Learning Patient Safety Bayes Theorem Humans Clinical Trials as Topic
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AI in drug development: a multidisciplinary perspective.

Molecular diversity Jul 12, 2021
The introduction of a new drug to the commercial market follows a complex and long process that typically spans over several years and entails large monetary costs due to a high attrition rate. Because of this, there is an urgent need to improve this...
Bayes Theorem Algorithms Cheminformatics Drug Design Models, Molecular Drug Development Molecular Structure Structure-Activity Relationship Artificial Intelligence Deep Learning Humans Machine Learning
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Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis.

Computer methods and programs in biomedicine Jul 7, 2021
BACKGROUND AND OBJECTIVES: Pneumonia is a disease that affects the lungs, making breathing difficult. Nowadays, pneumonia is the disease that kills the most children under the age of five in the world, and if no action is taken, pneumonia is estimate...
Lung Deep Learning Pneumonia Bayes Theorem Child Humans Neural Networks, Computer
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Efficient Graph Collaborative Filtering via Contrastive Learning.

Sensors (Basel, Switzerland) Jul 7, 2021
Collaborative filtering (CF) aims to make recommendations for users by detecting user's preference from the historical user-item interactions. Existing graph neural networks (GNN) based methods achieve satisfactory performance by exploiting the high-...
Neural Networks, Computer Algorithms Bayes Theorem
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Predicting Colorectal Cancer Recurrence and Patient Survival Using Supervised Machine Learning Approach: A South African Population-Based Study.

Frontiers in public health Jul 7, 2021
South Africa (SA) has the highest incidence of colorectal cancer (CRC) in Sub-Saharan Africa (SSA). However, there is limited research on CRC recurrence and survival in SA. CRC recurrence and overall survival are highly variable across studies. Accu...
South Africa Supervised Machine Learning Humans Colorectal Neoplasms Machine Learning Bayes Theorem
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