AIMC Topic: Bayes Theorem

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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 ...
Machine Learning Bayes Theorem Algorithms Anemia Female Health Surveys Support Vector Machine ROC Curve Humans Male Ethiopia Logistic Models Decision Trees Infant Child, Preschool
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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...
Humans Models, Theoretical Bayes Theorem Thermosensing Machine Learning Temperature Cities
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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...
Machine Learning Bayes Theorem Tablets Chemistry, Pharmaceutical Artificial Intelligence
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Confidence interval forecasting model of small watershed flood based on compound recurrent neural networks and Bayesian.

PloS one Apr 21, 2025
Flood forecasting exhibits rapid fluctuations, water level forecasting shows great uncertainty and inaccuracy in small watersheds, and the reliability and accuracy performance of traditional probability forecasting is often unbalanced. This study com...
Recurrent Neural Networks Bayes Theorem Neural Networks, Computer Confidence Intervals Forecasting Floods China
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Uncertainty mapping and probabilistic tractography using Simulation-based Inference in diffusion MRI: A comparison with classical Bayes.

Medical image analysis Apr 20, 2025
Simulation-Based Inference (SBI) has recently emerged as a powerful framework for Bayesian inference: Neural networks are trained on simulations from a forward model, and learn to rapidly estimate posterior distributions. We here present an SBI frame...
Uncertainty Diffusion Magnetic Resonance Imaging Monte Carlo Method White Matter Diffusion Tensor Imaging Brain Humans Computer Simulation Neural Networks, Computer Reproducibility of Results Bayes Theorem Algorithms Markov Chains Image Interpretation, Computer-Assisted
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Explainable machine learning for predicting lung metastasis of colorectal cancer.

Scientific reports Apr 19, 2025
Patients with lung metastasis of colorectal cancer typically have a poor prognosis. Therefore, establishing an effective screening and diagnosis model is paramount. Our study seeks to construct and verify a predictive model utilizing machine learning...
Humans Middle Aged Aged Machine Learning Lung Neoplasms Bayes Theorem Algorithms Colorectal Neoplasms Support Vector Machine SEER Program Male Prognosis Female
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Predicting mortality and risk factors of sepsis related ARDS using machine learning models.

Scientific reports Apr 18, 2025
Sepsis related acute respiratory distress syndrome (ARDS) is a common and serious disease in clinic. Accurate prediction of in-hospital mortality of patients is crucial to optimize treatment and improve prognosis under the new global definition of AR...
Middle Aged Sepsis Hospital Mortality Respiratory Distress Syndrome Bayes Theorem Risk Factors Aged Male Machine Learning Prognosis Female Humans
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Ligand-Based Drug Discovery Leveraging State-of-the-Art Machine Learning Methodologies Exemplified by Cdr1 Inhibitor Prediction.

Journal of chemical information and modeling Apr 16, 2025
Artificial intelligence (AI) is revolutionizing drug discovery with unprecedented speed and efficiency. In computer-aided drug design, structure-based and ligand-based methodologies are the main driving forces for innovation. In cases where no experi...
Ligands Machine Learning Drug Discovery Bayes Theorem Humans
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Machine learning approaches for assessing medication transfer to human breast milk.

Journal of pharmacokinetics and pharmacodynamics Apr 16, 2025
The human milk/plasma (M/P) drug concentration ratio is crucial in pharmacology, especially for breastfeeding mothers undergoing treatment. It determines the extent to which drugs ingested by the mother pass into breast milk, potentially affecting th...
Humans Neural Networks, Computer Milk, Human Support Vector Machine Principal Component Analysis Machine Learning Algorithms Female Bayes Theorem Pharmaceutical Preparations Breast Feeding
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Computer Vision in Monitoring Fruit Browning: Neural Networks vs. Stochastic Modelling.

Sensors (Basel, Switzerland) Apr 15, 2025
As human labour is limited and therefore expensive, computer vision has emerged as a solution with encouraging results for monitoring and sorting tasks in the agrifood sector, where conventional methods for inspecting fruit browning that are generall...
Stochastic Processes Humans Bayes Theorem Pyrus Neural Networks, Computer Color Fruit
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