AIMC Topic: Bayes Theorem

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Systematic selection of best performing mathematical models for in vitro gas production using machine learning across diverse feeds.

Scientific reports Aug 21, 2025
In vitro gas production (GP) is commonly used to evaluate ruminant feed, yet its accurate interpretation requires robust mathematical modeling. This study systematically explores a wide array of nonlinear models to explain GP dynamics across various ...
Machine Learning Models, Biological Animal Feed Animals Gases Models, Theoretical Ruminants Bayes Theorem
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University english teaching evaluation using artificial intelligence and data mining technology.

Scientific reports Aug 19, 2025
This work intends to drive reform and innovation in English teaching evaluation and support personalized English instruction. It utilizes deep learning (DL) and artificial intelligence (AI)-driven data mining technology to explore a reliable and effi...
Data Mining Teaching Humans Deep Learning Male Language Universities Artificial Intelligence Students Female Bayes Theorem
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An explainable predictive machine learning model for axillary lymph node metastasis in breast cancer based on multimodal data: A retrospective single-center study.

Journal of translational medicine Aug 11, 2025
OBJECTIVE: To develop explainable machine learning models that integrate multimodal imaging and pathological biomarkers to predict axillary lymph node metastasis (ALNM) in breast cancer patients and assess their clinical utility.
Adult Breast Neoplasms Middle Aged Retrospective Studies Female Aged Axilla Multimodal Imaging Area Under Curve Bayes Theorem ROC Curve Lymph Nodes Lymphatic Metastasis Humans Machine Learning
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Comparing likelihood-based and likelihood-free approaches to fitting and comparing models of intertemporal choice.

Behavior research methods Aug 11, 2025
Machine learning methods have recently begun to be used for fitting and comparing cognitive models, yet they have mainly focused on methods for dealing with models that lack tractable likelihoods. Evaluating how these approaches compare to traditiona...
Delay Discounting Bayes Theorem Likelihood Functions Choice Behavior Humans Neural Networks, Computer Machine Learning
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Development of several machine learning based models for determination of small molecule pharmaceutical solubility in binary solvents at different temperatures.

Scientific reports Aug 7, 2025
Analysis of small-molecule drug solubility in binary solvents at different temperatures was carried out via several machine learning models and integration of models to optimize. We investigated the solubility of rivaroxaban in both dichloromethane a...
Bayes Theorem Solubility Solvents Rivaroxaban Machine Learning Algorithms Temperature Neural Networks, Computer
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Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Scientific reports Aug 6, 2025
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t...
Early Diagnosis Mucopolysaccharidoses Young Adult Male Infant Retrospective Studies Humans Child Adolescent Electronic Health Records Machine Learning Bayes Theorem Child, Preschool Female Algorithms
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Digital Twins for Personalized Medicine Require Epidemiological Data and Mathematical Modeling: Viewpoint.

Journal of medical Internet research Aug 5, 2025
Digital twin (DT) technology is revolutionizing clinical practice by integrating diverse epidemiological data sources to create dynamic, patient-specific simulations. By leveraging data from genomics, proteomics, imaging, sociodemographics, and real-...
Humans Artificial Intelligence Models, Theoretical Bayes Theorem Machine Learning Precision Medicine
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Uncovering locomotor learning dynamics in people with Parkinson's disease.

PloS one Jul 31, 2025
Locomotor learning is important for improving gait and balance impairments in people with Parkinson's disease (PD). While PD disrupts neural networks involved in motor learning, there is a limited understanding of how PD influences the time course of...
Motor Skills Learning Bayes Theorem Female Middle Aged Aged Gait Humans Case-Control Studies Male Locomotion Parkinson Disease
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A deep learning model for predicting radiation-induced xerostomia in patients with head and neck cancer based on multi-channel fusion.

BMC medical imaging Jul 30, 2025
OBJECTIVES: Radiation-induced xerostomia is a common sequela in patients who undergo head and neck radiation therapy. This study aims to develop a three-dimensional deep learning model to predict xerostomia by fusing data from the gross tumor volume ...
Male Radiation Injuries Female Humans Head and Neck Neoplasms Middle Aged Xerostomia Aged Retrospective Studies Bayes Theorem Deep Learning Adult Parotid Gland Tomography, X-Ray Computed
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Features extraction based on Naive Bayes algorithm and TF-IDF for news classification.

PloS one Jul 30, 2025
The rapid proliferation of online news demands robust automated classification systems to enhance information organization and personalized recommendation. Although traditional methods like TF-IDF with Naive Bayes provide foundational solutions, thei...
Machine Learning Algorithms Natural Language Processing Humans Bayes Theorem Semantics
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