AIMC Topic: Bayes Theorem

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Robust Lightweight Graph Neural Network Framework for Accelerating Crystal Structure Prediction.

Journal of chemical information and modeling Jun 30, 2025
This work presents a crystal structure prediction framework that employs a structural search using a derivative-free optimization method, with a supervised Graph Neural Network (GNN) model as the energy evaluator. We address the limitations of existi...
Models, Molecular Bayes Theorem Crystallography, X-Ray Graph Neural Networks Neural Networks, Computer
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Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT.

PloS one Jun 30, 2025
E-commerce is a vital component of the world economy, providing people with a simple and convenient method for shopping and enabling businesses to expand into new global markets. Improving e-commerce decision-making by utilizing IoT and machine intel...
Consumer Behavior Commerce Decision Making Bayes Theorem Internet Algorithms Support Vector Machine Humans Machine Learning
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Machine Learning Based Multi-Class Classification and Grading of Squamous Cell Carcinoma in Optical Microscopy.

Microscopy research and technique Jun 27, 2025
Histopathological tissue grading is critical for disease diagnosis and treatment, but manual grading is labor-intensive and time-consuming, requiring expert pathologists. This study presents an efficient analysis of squamous cell carcinoma (SCC) hist...
Support Vector Machine Carcinoma, Squamous Cell Bayes Theorem Humans Neoplasm Grading Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Microscopy Machine Learning
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Blockchain-aided comparative study of heart disease detection using machine learning-based approaches with an expanded dataset.

Computers in biology and medicine Jun 27, 2025
Heart disease, also known as cardiovascular disease (CVD), is a diverse set of conditions that disrupt the normal functioning of the cardiovascular system by narrowing the coronary arteries. These arteries are used for blood circulation and the deliv...
Humans Male Bayes Theorem Heart Diseases Computer Security Machine Learning Algorithms Databases, Factual
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Comparative investigation of bagging enhanced machine learning for early detection of HCV infections using class imbalance technique with feature selection.

PloS one Jun 26, 2025
Around 1.5 million new cases of Hepatitis C Virus (HCV) are diagnosed globally each year (World Health Organization, 2023). Consequently, there is a pressing need for early diagnostic methods for HCV. This study investigates the prognostic accuracy o...
Female Decision Trees Adult Male Hepacivirus Area Under Curve Humans Middle Aged Hepatitis C Bayes Theorem Machine Learning Support Vector Machine Early Diagnosis
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Uncertainty-based cardiac image registration using variational autoencoder with nonuniformly spaced control points.

Computer methods and programs in biomedicine Jun 23, 2025
BACKGROUND AND OBJECTIVE: The Variational Bayesian (VB) image registration model has garnered recent attention for its ability to offer uncertainty, particularly in the context of cardiac motion estimation. Nonetheless, several challenges have plague...
Autoencoder Uncertainty Image Processing, Computer-Assisted Bayes Theorem Heart Neural Networks, Computer Algorithms Humans
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Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis.

Journal of medical Internet research Jun 19, 2025
BACKGROUND: Digital mental health tools promise to enhance the reach and quality of care. Current tools often recommend content to individuals, typically using generic knowledge-based systems or predictive artificial intelligence (AI). However, predi...
Markov Chains Humans Artificial Intelligence Female Middle Aged Adult Mobile Applications Surveys and Questionnaires Mental Health Bayes Theorem Male
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Deep generative models for Bayesian inference on high-rate sensor data: applications in automotive radar and medical imaging.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Jun 19, 2025
Deep generative models (DGMs) have been studied and developed primarily in the context of natural images and computer vision. This has spurred the development of (Bayesian) methods that use these generative models for inverse problems in image restor...
Diagnostic Imaging Bayes Theorem Radar Deep Learning Image Processing, Computer-Assisted Automobiles Humans Algorithms
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Treatment Effect Estimation With Potential Outcomes for a Single-Arm Trial Compared With Historical Controls: A Case Study of Locally Recurrent Head and Neck Squamous Cell Carcinoma Patients Treated With Adjuvant Nivolumab.

Head & neck Jun 17, 2025
BACKGROUND: Time/resource constraints might preclude a randomized controlled trial. Single-arm oncology trials with historical controls are an alternative. With causal inference, treatment effect estimates can be computed in the absence of randomizat...
Treatment Outcome Squamous Cell Carcinoma of Head and Neck Head and Neck Neoplasms Male Middle Aged Case-Control Studies Female Nivolumab Aged Disease-Free Survival Antineoplastic Agents, Immunological Humans Proportional Hazards Models Bayes Theorem Chemotherapy, Adjuvant Neoplasm Recurrence, Local
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Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population.

PloS one Jun 17, 2025
BACKGROUND: Cardiovascular disease (CVD) is a significant public health challenge in the Western Pacific region, including Malaysia.
Malaysia Bayes Theorem Heart Disease Risk Factors Adult Middle Aged Female Humans Male Risk Assessment Risk Factors Cardiovascular Diseases Machine Learning Support Vector Machine Aged Algorithms
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