AIMC Topic: Bayes Theorem

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Development of a survey-based stacked ensemble predictive model for autonomy preferences in patients with periodontal disease.

Journal of dentistry Nov 18, 2024
OBJECTIVES: This study aimed to develop a model to predict the autonomy preference (AP) and satisfaction after tooth extraction (STE) in patients with periodontal disease. Understanding of individual AP and STE is essential for improving patient sati...
Female Aged Young Adult Adult Male Middle Aged Surveys and Questionnaires Humans Machine Learning Patient Preference Decision Making Oral Health Bayes Theorem Personal Autonomy Tooth Extraction Periodontal Diseases Patient Satisfaction
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Predictive risk models for COVID-19 patients using the multi-thresholding meta-algorithm.

Scientific reports Nov 18, 2024
This study aims to develop a Machine Learning model to assess the risks faced by COVID-19 patients in a hospital setting, focusing specifically on predicting the complications leading to Intensive Care Unit (ICU) admission or mortality, which are min...
Bayes Theorem Aged Male Middle Aged Risk Assessment SARS-CoV-2 Risk Factors Hospitalization Humans Machine Learning COVID-19 Algorithms Intensive Care Units Female
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Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment.

Sensors (Basel, Switzerland) Nov 16, 2024
Individual physiotherapy is crucial in treating patients with various pain and health issues, and significantly impacts abdominal surgical outcomes and further medical problems. Recent technological and artificial intelligent advancements have equipp...
Signal Processing, Computer-Assisted Accelerometry Mobile Applications Neural Networks, Computer Support Vector Machine Machine Learning Bayes Theorem Female Middle Aged Aged Exercise Adolescent Young Adult Humans Child Adult Male
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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...
Biomarkers Female Aged Young Adult Humans Artificial Intelligence Phenotype Middle Aged Adolescent Nutrition Surveys Age Factors Adult Male Aging Bayes Theorem Models, Biological
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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...
China COVID-19 Bayes Theorem Forecasting Investments Humans SARS-CoV-2 Neural Networks, Computer Public Health 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...
Equipment Safety Defibrillators Humans Machine Learning Algorithms Bayes Theorem
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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 Neural Networks, Computer Humans Stochastic Processes Algorithms Air Pollutants Bayes Theorem
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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...
Greenhouse Gases Hydrogen Sulfide Composting Charcoal Carbon Dioxide Ammonia Artificial Intelligence Neural Networks, Computer Machine Learning Soil Bayes Theorem
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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...
Humans Deep Learning Neural Networks, Computer Proteins Algorithms Bayes Theorem Drug Design Ligands
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