AIMC Topic: Bayes Theorem

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Global greenhouse gas reduction forecasting via machine learning model in the scenario of energy transition.

Journal of environmental management Nov 15, 2024
Global warming is becoming increasingly serious, with greenhouse gas (GHGs) emissions identified as a principal contributor. In response to the climate crisis, many countries are actively transitioning to renewable energy. Therefore, it is crucial to...
Machine Learning Forecasting Models, Theoretical Bayes Theorem Greenhouse Gases Global Warming
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Artificial intelligence modeling of biomarker-based physiological age: Impact on phase 1 drug-metabolizing enzyme phenotypes.

CPT: pharmacometrics & systems pharmacology Nov 14, 2024
Age and aging are important predictors of health status, disease progression, drug kinetics, and effects. The purpose was to develop ensemble learning-based physiological age (PA) models for evaluating drug metabolism. National Health and Nutrition E...
Bayes Theorem Models, Biological Adolescent Nutrition Surveys Age Factors Male Aging Middle Aged Artificial Intelligence Phenotype Biomarkers Young Adult Adult Female Aged Humans
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Comparative analysis of volatility forecasting for healthcare stock indices amid public health crises: a study based on the Bayes-CNN model.

Frontiers in public health Nov 14, 2024
In recent years, public health events have significantly impacted various aspects of human production and daily life, particularly in the domains of disease transmission and economic stability. While many scholars have primarily focused on the influe...
Public Health COVID-19 China Investments Forecasting Bayes Theorem SARS-CoV-2 Humans Neural Networks, Computer Pandemics
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Machine learning for improved medical device management: A focus on defibrillator performance.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 8, 2024
BackgroundPoorly regulated and insufficiently maintained medical devices (MDs) carry high risk on safety and performance parameters impacting the clinical effectiveness and efficiency of patient diagnosis and treatment. After the MD directive (MDD) h...
Humans Machine Learning Algorithms Defibrillators Bayes Theorem Equipment Safety
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Statistical inference and neural network training based on stochastic difference model for air pollution and associated disease transmission.

Journal of theoretical biology Nov 8, 2024
A polluted air environment can potentially provoke infections of diverse respiratory diseases. The development of mathematical models can study the mechanism of air pollution and its effect on the spread of diseases. The key is to characterize the in...
Air Pollution Stochastic Processes Humans Air Pollutants Bayes Theorem Neural Networks, Computer Algorithms
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Optimizing the early-stage of composting process emissions - artificial intelligence primary tests.

Scientific reports Nov 8, 2024
Although composting has many advantages in treating organic waste, many problems and challenges are still associated with emissions, like NH, CO and HS, as well as greenhouse gases such as CO. One promising approach to enhancing composting conditions...
Artificial Intelligence Machine Learning Soil Neural Networks, Computer Ammonia Greenhouse Gases Hydrogen Sulfide Composting Bayes Theorem Charcoal Carbon Dioxide
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A deep learning approach for rational ligand generation with toxicity control via reactive building blocks.

Nature computational science Nov 8, 2024
Deep generative models are gaining attention in the field of de novo drug design. However, the rational design of ligand molecules for novel targets remains challenging, particularly in controlling the properties of the generated molecules. Here, ins...
Drug Design Deep Learning Bayes Theorem Proteins Ligands Humans Neural Networks, Computer Algorithms
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Synergistic biophysics and machine learning modeling to rapidly predict cardiac growth probability.

Computers in biology and medicine Nov 7, 2024
Computational models that can predict growth and remodeling of the heart could have important clinical applications. However, the time it takes to calibrate and run current models while considering data uncertainty and variability makes them impracti...
Models, Cardiovascular Heart Dogs Mitral Valve Insufficiency Humans Animals Bayes Theorem Machine Learning Computer Simulation
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Prediction of Multi-Pharmacokinetics Property in Multi-Species: Bayesian Neural Network Stacking Model with Uncertainty.

Molecular pharmaceutics Nov 7, 2024
Pharmacokinetic (PK) properties of a drug are vital attributes influencing its therapeutic effectiveness, playing an important role in the drug development process. Focusing on the difficult task of predicting PK parameters, we compiled an extensive ...
Humans Neural Networks, Computer Bayes Theorem Models, Biological Pharmacokinetics Uncertainty Animals Drug Discovery Drug Development
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Prediction of the risk of mortality in older patients with coronavirus disease 2019 using blood markers and machine learning.

Frontiers in immunology Nov 1, 2024
INTRODUCTION: The mortality rate among older people infected with severe acute respiratory syndrome coronavirus 2 is alarmingly high. This study aimed to explore the predictive value of a novel model for assessing the risk of death in this vulnerable...
Female Lymphocytes Leukocyte Count Prediction Algorithms SARS-CoV-2 C-Reactive Protein Monocytes Aged Area Under Curve COVID-19 Humans Neutrophils Bayes Theorem Interleukin-6 Regression Analysis Aged, 80 and over Machine Learning Biomarkers Predictive Value of Tests Male China
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