AIMC Topic: Bayes Theorem

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Dosing prediction of valproic acid in pediatric patients with epilepsy: population pharmacokinetic model or machine learning model?

European journal of clinical pharmacology Sep 1, 2025
PURPOSE: This study develops and compares population pharmacokinetics (PopPK) models and machine learning methods, including neural networks, to predict steady-state trough concentrations in pediatric patients and provide improved dosing recommendati...
Epilepsy Humans Anticonvulsants Neural Networks, Computer Models, Biological Machine Learning Linear Models Child, Preschool Child Infant Bayes Theorem Adolescent Valproic Acid Female Male
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Methodology for contamination detection and reduction in fermentation processes using machine learning.

Bioprocess and biosystems engineering Sep 1, 2025
This paper demonstrates an accurate and efficient methodology for fermentation contamination detection and reduction using two machine learning (ML) methods, including one-class support vector machine and autoencoders. We also optimize as many hyperp...
Support Vector Machine Machine Learning Algorithms Bayes Theorem Fermentation
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Combining structural equation modeling analysis with machine learning for early malignancy detection in Bethesda Category III thyroid nodules.

Artificial intelligence in medicine Sep 1, 2025
Atypia of Undetermined Significance (AUS), classified as Category III in the Bethesda Thyroid Cytopathology Reporting System, presents significant diagnostic challenges for clinicians. This study aims to develop a clinical decision support system tha...
Middle Aged Latent Class Analysis Thyroid Neoplasms Ultrasonography Aged Adult Male Support Vector Machine Early Detection of Cancer Decision Trees Bayes Theorem Thyroid Nodule Decision Support Systems, Clinical Logistic Models Retrospective Studies Female Humans Machine Learning Biopsy, Fine-Needle
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Interpretable machine learning models based on body composition and inflammatory nutritional index (BCINI) to predict early postoperative recurrence of colorectal cancer: Multi-center study.

Computer methods and programs in biomedicine Sep 1, 2025
BACKGROUND AND OBJECTIVE: Colorectal cancer (CRC) ranks among the most prevalent cancers worldwide, with early postoperative recurrence remaining a major cause of mortality. Body composition and inflammatory-nutritional indices (BCINI) have demonstra...
Neoplasm Recurrence, Local Nutritional Status Postoperative Period Support Vector Machine Bayes Theorem Body Composition Nutrition Assessment ROC Curve Inflammation Machine Learning Algorithms Female Male Aged Colorectal Neoplasms Humans Middle Aged
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A heterogeneity analysis of health-related quality of life in early adults born very preterm or very low birthweight across the sociodemographic spectrum.

Social science & medicine (1982) Sep 1, 2025
Preterm birth and very low birthweight (VP/VLBW) are associated with poorer health-related quality of life (HRQoL) outcomes extending into adulthood, yet it remains unclear how these effects differ across sociodemographic subgroups. This study aimed ...
Maternal Age Infant, Very Low Birth Weight Europe Bayes Theorem Sociodemographic Factors Premature Birth Educational Status Quality of Life Humans Adult Young Adult Adolescent Female Male Socioeconomic Factors Longitudinal Studies Infant, Newborn Infant, Extremely Premature
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Kernel Bayesian tensor ring decomposition for multiway data recovery.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Tensor ring (TR) decomposition has emerged as the prevailing method for tensor completion. Earlier approaches have situated TR decomposition within a probabilistic framework, yielding satisfactory outcomes. However, these methods ignore side informat...
Neural Networks, Computer Algorithms Bayes Theorem Humans
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Meta-tuning and fast optimization of machine learning models for dynamic methane prediction in anaerobic digestion.

Bioresource technology Sep 1, 2025
This study evaluates the performance of several optimization algorithms for tuning a data preparation and hyperparameter optimization pipeline applied to machine and deep learning models predicting methane production. Bayesian ridge regression and re...
Biofuels Anaerobiosis Neural Networks, Computer Bayes Theorem Machine Learning Methane Algorithms
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Physics-informed multi-output Gaussian process for dynamical system modeling.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Learning accurate dynamics models is crucial for model-based reinforcement learning. Gaussian processes (GPs), as a probabilistic modeling approach, have been widely used for dynamical system modeling. However, standard GPs are designed for single-ou...
Humans Neural Networks, Computer Bayes Theorem Computer Simulation Normal Distribution Models, Statistical
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Prediction of trihalomethane occurrence and cancer risk using interpretable machine learning and virtual data augmentation.

Journal of hazardous materials Aug 15, 2025
Trihalomethanes (THMs) in drinking water are regulated for carcinogenic health risks. However, frequent water quality monitoring imposes significant resource burdens. This study proposes a framework integrating interpretable machine learning (ML) wit...
Risk Assessment Neoplasms Humans Machine Learning Environmental Monitoring Water Quality Trihalomethanes Water Pollutants, Chemical Drinking Water Bayes Theorem
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Uncertainty quantification-guided patient-specific quality assurance using Bayesian neural networks based on field complexity features and fluence maps.

Physics in medicine and biology Aug 8, 2025
Recent advancements in artificial intelligence (AI)-driven prediction models for measurement-based patient-specific quality assurance (PSQA) necessitate uncertainty quantification (UQ) to ensure clinical safety.An uncertainty-guided framework was pro...
Bayes Theorem Quality Control Quality Assurance, Health Care Uncertainty Humans Neural Networks, Computer
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