AIMC Topic: Bayes Theorem

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Entity-level multiple instance learning for mesoscopic histopathology images classification with Bayesian collaborative learning and pathological prior transfer.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 27, 2025
BACKGROUND: Entity-level pathologic structures with independent structures and functions are at a mesoscopic scale between the cell-level and slide-level, containing limited structures thus providing fewer instances for multiple instance learning. Th...
Bayes Theorem Image Interpretation, Computer-Assisted Multiple-Instance Learning Algorithms Humans Machine Learning Algorithms
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ESG introduction mechanism of construction firms based on Bayesian network coupled with machine learning: Evidence from Zhengzhou.

Journal of environmental management Jan 25, 2025
Chinese construction enterprises are at a pivotal point in their transition to sustainable development, with Environmental, Social, and Governance (ESG) emerging as a key driver. However, limited understanding of ESG mechanisms hampers effective mana...
Bayes Theorem Construction Industry Sustainable Development Machine Learning China
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Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction.

PloS one Jan 24, 2025
Diabetes, a chronic condition affecting millions worldwide, necessitates early intervention to prevent severe complications. While accurately predicting diabetes onset or progression remains challenging due to complex and imbalanced datasets, recent ...
Bayes Theorem Humans Boosting Machine Learning Algorithms Female Machine Learning Algorithms Male Diabetes Mellitus
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Non-parametric Bayesian deep learning approach for whole-body low-dose PET reconstruction and uncertainty assessment.

Medical & biological engineering & computing Jan 23, 2025
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection of metastatic tumors and response to therapy assessment due to its high sensitivity compared to anatomical imaging modalities. The balance between ima...
Deep Learning Image Processing, Computer-Assisted Bayes Theorem Humans Algorithms Monte Carlo Method Positron-Emission Tomography Uncertainty Radiation Dosage Whole Body Imaging Signal-To-Noise Ratio
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Continual learning with Bayesian compression for shared and private latent representations.

Neural networks : the official journal of the International Neural Network Society Jan 21, 2025
This paper proposes a new continual learning method with Bayesian Compression for Shared and Private Latent Representations (BCSPLR), which learns a compact model structure while preserving the accuracy. In Shared and Private Latent Representations (...
Bayes Theorem Data Compression Machine Learning Humans Neural Networks, Computer Algorithms Learning
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Addressing Missing Data Challenges in Geriatric Health Monitoring: A Study of Statistical and Machine Learning Imputation Methods.

Sensors (Basel, Switzerland) Jan 21, 2025
In geriatric healthcare, missing data pose significant challenges, especially in systems used for frailty monitoring in elderly individuals. This study explores advanced imputation techniques used to enhance data quality and maintain model performanc...
Monitoring, Physiologic Frailty Bayes Theorem Aged Support Vector Machine Humans Machine Learning Algorithms Geriatrics
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Development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective data: a protocol.

BMJ open Jan 21, 2025
INTRODUCTION: Propofol is a widely used sedative-hypnotic agent for critically ill patients requiring invasive mechanical ventilation (IMV). Despite its clinical benefits, propofol is associated with increased risks of hypertriglyceridemia. Early ide...
Bayes Theorem Hypertriglyceridemia Critical Illness Intensive Care Units Risk Assessment Respiration, Artificial Propofol Humans Hypnotics and Sedatives Machine Learning Retrospective Studies
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Machine learning-driven prediction of medical expenses in triple-vessel PCI patients using feature selection.

BMC health services research Jan 20, 2025
Revascularization therapies, such as percutaneous coronary intervention (PCI) and coronary artery bypass grafting (CABG), alleviate symptoms and treat myocardial ischemia. Patients with multivessel disease, particularly those undergoing 3-vessel PCI,...
Coronary Artery Bypass Coronary Artery Disease Health Expenditures Aged Male Middle Aged Taiwan Bayes Theorem Percutaneous Coronary Intervention Humans Machine Learning Female
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Machine learning validation of the AVAS classification compared to ultrasound mapping in a multicentre study.

Scientific reports Jan 20, 2025
The Arteriovenous Access Stage (AVAS) classification simplifies information about suitability of vessels for vascular access (VA). It's been previously validated in a clinical study. Here, AVAS performance was tested against multiple ultrasound mappi...
Humans Machine Learning Aged Male Middle Aged Algorithms Prospective Studies Female ROC Curve Bayes Theorem Renal Dialysis Ultrasonography
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Investigating the performance of multivariate LSTM models to predict the occurrence of Distributed Denial of Service (DDoS) attack.

PloS one Jan 17, 2025
In the current cybersecurity landscape, Distributed Denial of Service (DDoS) attacks have become a prevalent form of cybercrime. These attacks are relatively easy to execute but can cause significant disruption and damage to targeted systems and netw...
Neural Networks, Computer Machine Learning Algorithms Deep Learning Bayes Theorem Humans Computer Security
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