AIMC Topic: Bayes Theorem

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Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis.

Journal of medical Internet research Jun 19, 2025
BACKGROUND: Digital mental health tools promise to enhance the reach and quality of care. Current tools often recommend content to individuals, typically using generic knowledge-based systems or predictive artificial intelligence (AI). However, predi...
Bayes Theorem Markov Chains Surveys and Questionnaires Mobile Applications Artificial Intelligence Female Adult Mental Health Male Humans Middle Aged
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Deep generative models for Bayesian inference on high-rate sensor data: applications in automotive radar and medical imaging.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jun 19, 2025
Deep generative models (DGMs) have been studied and developed primarily in the context of natural images and computer vision. This has spurred the development of (Bayesian) methods that use these generative models for inverse problems in image restor...
Radar Algorithms Deep Learning Image Processing, Computer-Assisted Automobiles Diagnostic Imaging Bayes Theorem Humans
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Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.

PloS one Jun 17, 2025
BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.
Female Heart Disease Risk Factors Risk Factors Malaysia Machine Learning Aged Middle Aged Bayes Theorem Algorithms Humans Risk Assessment Adult Support Vector Machine Male Cardiovascular Diseases
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Predicting Coronary Heart Disease Using Data Mining and Machine Learning Solutions.

Anais da Academia Brasileira de Ciencias Jun 16, 2025
This research focuses on predicting cardiovascular disease using machine learning classification strategies. The study presents a unique approach by integrating multiple machine learning techniques, leveraging the strengths of Random Forest and Gradi...
Algorithms Female Male Humans Machine Learning Coronary Disease Decision Trees Bayes Theorem Data Mining
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Toward a general framework for AI-enabled prediction in crop improvement.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 12, 2025
A theoretical framework for AI and ensembled prediction for crop improvement is introduced and demonstrated using the logistic map. Symbolic/sub-symbolic AI-based prediction can increase predictive skill with increase in system complexity. The curse ...
Artificial Intelligence Phenotype Crops, Agricultural Plant Breeding Models, Genetic Bayes Theorem
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Bayesian optimization and machine learning for vaccine formulation development.

PloS one Jun 11, 2025
Developing vaccines with a better stability is an area of improvement to meet the global health needs of preventing infectious diseases. With the advancement of data science and artificial intelligence, innovative approaches have emerged. This manusc...
Humans Bayes Theorem Machine Learning Vaccines Vaccine Development
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Prediction of air temperature and humidity in greenhouses via artificial neural network.

PloS one Jun 9, 2025
Accurate prediction of greenhouse temperature and relative humidity is critical for developing environmental control systems. Effective regulation strategies can help improve crop yields while reducing energy consumption. In this study, Multilayer Pe...
Soil Neural Networks, Computer Bayes Theorem Humidity Temperature
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Assessing simulation-based supervised machine learning for demographic parameter inference from genomic data.

Heredity Jun 6, 2025
The ever-increasing availability of high-throughput DNA sequences and the development of numerous computational methods have led to considerable advances in our understanding of the evolutionary and demographic history of populations. Several demogra...
Bayes Theorem Supervised Machine Learning Genetics, Population Neural Networks, Computer Machine Learning Humans Algorithms Computer Simulation Genomics Models, Genetic
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Optimization of hemocompatibility metrics in ventricular assist device design using machine learning and CFD-based response surface analysis.

The International journal of artificial organs Jun 6, 2025
Ventricular assist devices (VADs) are essential for end-stage heart failure patients, but their design must balance hydraulic efficiency and hemocompatibility to minimize blood damage. This study presents a multi-objective optimization framework inte...
Computer Simulation Bayes Theorem Prosthesis Design Heart Failure Materials Testing Heart-Assist Devices Humans Machine Learning Models, Cardiovascular Stress, Mechanical Platelet Activation Hemolysis Hydrodynamics
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Long-term exposure to PM and liver cancer mortality: Insights into the role of smaller particulate fractions.

Ecotoxicology and environmental safety Jun 5, 2025
Particulate matter (PM) is a recognized carcinogen, but the effects of PM on liver cancer remain underexplored. This study investigates the long-term association between PM and liver cancer mortality, as well as the contribution of smaller particles ...
Humans China Liver Neoplasms Particle Size Air Pollution Air Pollutants Particulate Matter Bayes Theorem Environmental Exposure
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