AIMC Topic: Bayes Theorem

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Prediction of natural runoff in China based on multi-scenario climate models with self-attention neural networks.

Water research May 2, 2025
Climate change is increasingly affecting the global water cycle. Developing high-quality climate-runoff relationship models can help assess its impact on surface natural runoff, thereby enhancing resilience to water resource risks. This study extends...
Climate Models Neural Networks, Computer Bayes Theorem Climate Change China
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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...
Bayes Theorem Tomography, X-Ray Computed Radiation Dosage Unsupervised Machine Learning Uncertainty Humans Deep Learning Algorithms Image Processing, Computer-Assisted
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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 Biomedical Research Bayes Theorem Large Language Models
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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...
Machine Learning Environmental Monitoring Humans Bayes Theorem Rivers Geologic Sediments
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A systematic review of machine learning algorithms for breast cancer detection.

Tissue & cell Apr 25, 2025
Breast cancer is one of the leading causes of death and morbidity among women worldwide. Identifying cancerous cells remains a complex and time-consuming task, particularly when performed manually by radiologists or pathologists, contributing to high...
Humans Female Breast Neoplasms Support Vector Machine Machine Learning Algorithms Bayes Theorem
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Machine learning based differential diagnosis of schizophrenia, major depression disorder and bipolar disorder using structural magnetic resonance imaging.

Journal of affective disorders Apr 24, 2025
BACKGROUND: Cortical morphological abnormalities in schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BD) have been identified in past research. However, their potential as objective biomarkers to differentiate these disorde...
Male Middle Aged Depressive Disorder, Major Adult Sensitivity and Specificity Humans Bayes Theorem Female Schizophrenia Young Adult Cerebral Cortex Magnetic Resonance Imaging Bipolar Disorder Machine Learning Diagnosis, Differential
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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 Variation Large Language Models Genotype Bayes Theorem Genetic Testing Humans Phenotype Machine Learning Language
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Optimizing machine learning models for predicting anemia among under-five children in Ethiopia: insights from Ethiopian demographic and health survey data.

BMC pediatrics Apr 22, 2025
BACKGROUND: Healthcare practitioners require a robust predictive system to accurately diagnose diseases, especially in young children with conditions such as anemia. Delays in diagnosis and treatment can have severe consequences, potentially leading ...
Algorithms Humans Female Decision Trees Machine Learning Bayes Theorem Male Support Vector Machine Anemia Ethiopia Health Surveys Infant ROC Curve Child, Preschool Logistic Models
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A measurement-based framework integrating machine learning and morphological dynamics for outdoor thermal regulation.

International journal of biometeorology Apr 21, 2025
This study presents a comprehensive investigation into the interplay between machine learning (ML) models, morphological features, and outdoor thermal comfort (OTC) across three key indices: Universal Thermal Climate Index (UTCI), Physiological Equiv...
Bayes Theorem Thermosensing Cities Models, Theoretical Machine Learning Temperature Humans
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Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation.

Scientific reports Apr 21, 2025
This research assesses multiple predictive models aimed at estimating disintegration time for pharmaceutical oral formulations, based on a dataset comprising nearly 2,000 data points that include molecular, physical, compositional, and formulation at...
Artificial Intelligence Machine Learning Tablets Chemistry, Pharmaceutical Bayes Theorem
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