AIMC Topic: Bayes Theorem

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Enhancing clinical decision-making in closed pelvic fractures with machine learning models.

Biomolecules & biomedicine May 8, 2025
Closed pelvic fractures can lead to severe complications, including hemodynamic instability (HI) and mortality. Accurate prediction of these risks is crucial for effective clinical management. This study aimed to utilize various machine learning (ML)...
Fractures, Bone Bayes Theorem Hemodynamics Pelvic Bones Humans Risk Factors Aged Female Male Middle Aged Adult Algorithms Neural Networks, Computer Retrospective Studies Machine Learning Clinical Decision-Making
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Comparison of Machine Learning Algorithms and Bayesian Estimation in Predicting Tacrolimus Concentration in Tunisian Kidney Transplant Patients During the Early Post-Transplant Period.

European journal of drug metabolism and pharmacokinetics May 8, 2025
BACKGROUND AND OBJECTIVE: Model-informed precision dosing (MIPD), based on a Bayesian approach and machine learning (ML) algorithms, is a suitable approach to personalize dosage recommendations and to improve the concentration target attainment for e...
Humans Machine Learning Adult Cross-Sectional Studies Male Kidney Transplantation Female Algorithms Tunisia Bayes Theorem Drug Monitoring Tacrolimus Middle Aged Immunosuppressive Agents
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Predicting Mesothelioma Using Artificial Intelligence: A Scoping Review of Common Models and Applications.

Technology in cancer research & treatment May 8, 2025
IntroductionMesothelioma is a type of lung cancer caused by asbestos exposure, and early diagnosis is crucial for improving survival chances. Artificial intelligence offers a potential solution for the timely diagnosis and staging of the disease. Thi...
Mesothelioma Artificial Intelligence Humans Mesothelioma, Malignant Prognosis Neural Networks, Computer Bayes Theorem
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Analysis of collapse risks under cut and cover method based on multi-state fuzzy Bayesian network.

PloS one May 7, 2025
The collapse accidents under cut and cover method in metro station construction occurred frequently, leading to severe casualties and property damage. With increasing of metro station construction in China, more and more attention has been paid to co...
Railroads Structure Collapse Fuzzy Logic Bayes Theorem Risk Assessment Humans China
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Probabilistic design space exploration and optimization via bayesian approach for a fluid bed drying process.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences May 3, 2025
The concept of Design Space (DS), delineated as a region of investigated variables aimed at maintaining product quality, was introduced in the International Conference on Harmonisation (ICH) Q8 as a framework to direct pharmaceutical development. How...
Technology, Pharmaceutical Desiccation Uncertainty Models, Statistical Bayes Theorem Reproducibility of Results
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Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment.

IEEE transactions on neural networks and learning systems May 2, 2025
Low-dose computed tomography (LDCT) image reconstruction techniques can reduce patient radiation exposure while maintaining acceptable imaging quality. Deep learning (DL) is widely used in this problem, but the performance of testing data (also known...
Uncertainty Bayes Theorem Radiation Dosage Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Unsupervised Machine Learning Deep Learning Humans
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Accuracy of Large Language Models When Answering Clinical Research Questions: Systematic Review and Network Meta-Analysis.

Journal of medical Internet research Apr 30, 2025
BACKGROUND: Large language models (LLMs) have flourished and gradually become an important research and application direction in the medical field. However, due to the high degree of specialization, complexity, and specificity of medicine, which resu...
Humans Large Language Models Biomedical Research Bayes Theorem
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Bayesian-optimized recursive machine learning for predicting human-induced changes in suspended sediment transport.

Environmental monitoring and assessment Apr 26, 2025
The suspended sediment load (SSL) of a river is a key indicator of water resource management, river morphology, and ecosystem health. This study analyzes historical changes in SSL and evaluates machine learning (ML) models for SSL prediction in the G...
Rivers Geologic Sediments Environmental Monitoring Bayes Theorem Humans Machine Learning
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Data-driven insights for enhanced cellulose conversion to 5-hydroxymethylfurfural using machine learning.

Bioresource technology Apr 23, 2025
Converting cellulose into 5-Hydroxymethylfurfural (HMF) provides a promising strategy for creating bio-based chemicals, offering sustainable alternatives to petroleum-based materials in polymers, biofuels, and pharmaceuticals. However, the efficient ...
Temperature Cellulose Furaldehyde Bayes Theorem Machine Learning
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Harnessing genotype and phenotype data for population-scale variant classification using large language models and bayesian inference.

Human genetics Apr 23, 2025
Variants of Uncertain Significance (VUS) in genetic testing for hereditary diseases burden patients and clinicians, yet clinical data that could reduce VUS are underutilized due to a lack of scalable strategies. We assessed whether a machine learning...
Genetic Testing Genetic Variation Large Language Models Genotype Humans Bayes Theorem Phenotype Language Machine Learning
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