AIMC Topic: Bayes Theorem

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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...
SEER Program Aged Colorectal Neoplasms Male Algorithms Support Vector Machine Bayes Theorem Prognosis Middle Aged Female Lung Neoplasms Humans Machine Learning
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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...
Aged Male Middle Aged Respiratory Distress Syndrome Bayes Theorem Sepsis Hospital Mortality Prognosis Female Risk Factors Humans Machine Learning
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Generative AI responses are a dime a dozen; Making them count is the challenge - Evaluating information presentation styles in healthcare chatbots using hierarchical Bayesian regression models.

Applied ergonomics Apr 17, 2025
The emergence of large language models offers new opportunities to deliver effective healthcare information through web-based healthcare chatbots. Health information is often complex and technical, making it crucial to design human-AI interactions th...
Young Adult Adult Communication Artificial Intelligence Language Female Humans User-Computer Interface Generative Artificial Intelligence Male Bayes Theorem Trust Internet Middle Aged
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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...
Bayes Theorem Ligands Humans Machine Learning Drug Discovery
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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 Female Milk, Human Support Vector Machine Principal Component Analysis Neural Networks, Computer Machine Learning Algorithms 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...
Humans Neural Networks, Computer Fruit Stochastic Processes Bayes Theorem Pyrus Color
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A retrospective study using machine learning to develop predictive model to identify rotavirus-associated acute gastroenteritis in children.

PeerJ Apr 14, 2025
BACKGROUND: Rotavirus is the leading cause of severe dehydrating diarrhea in children under 5 years worldwide. Timely diagnosis is critical, but access to confirmatory testing is limited in hospital settings. Machine learning (ML) models have shown p...
Gastroenteritis Humans Bayes Theorem Male Rotavirus Infant Rotavirus Infections India Child, Preschool Support Vector Machine Machine Learning Diarrhea Decision Trees Retrospective Studies Female
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Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 13, 2025
Image segmentation is a critical step in computational biomedical image analysis, typically evaluated using metrics like the Dice coefficient during training and validation. However, in clinical settings without manual annotations, assessing segmenta...
Deep Learning Liver Neoplasms Image Processing, Computer-Assisted Uncertainty Humans Bayes Theorem Skin Neoplasms Image Interpretation, Computer-Assisted Reproducibility of Results
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Analysis of the Relationship Between and Cytokine Gene Expression in Hematological Malignancy: Leveraging Explained Artificial Intelligence and Machine Learning for Small Dataset Insights.

International journal of medical sciences Apr 13, 2025
This study measures expression of () and related cytokine genes in bone marrow mononuclear cells in patients with hematological malignancies, analyzing the relationship between them with an integrated framework of statistical analyses, machine learn...
Caspase 1 Artificial Intelligence NF-kappa B p50 Subunit Machine Learning Middle Aged Cytokines Female Humans Gene Expression Regulation, Neoplastic Hematologic Neoplasms Biomarkers, Tumor Bayes Theorem Male
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Detecting implicit biases of large language models with Bayesian hypothesis testing.

Scientific reports Apr 11, 2025
Despite the remarkable performance of large language models (LLMs), such as generative pre-trained Transformers (GPTs), across various tasks, they often perpetuate social biases and stereotypes embedded in their training data. In this paper, we intro...
Bayes Theorem Large Language Models Humans Language Bias
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