AIMC Topic: Bayes Theorem

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A Framework for Parameter Estimation and Uncertainty Quantification in Systems Biology Using Quantile Regression and Physics-Informed Neural Networks.

Bulletin of mathematical biology Mar 28, 2025
A framework for parameter estimation and uncertainty quantification is crucial for understanding the mechanisms of biological interactions within complex systems and exploring their dynamic behaviors beyond what can be experimentally observed. Despit...
Uncertainty Humans Mathematical Concepts Neural Networks, Computer Algorithms Regression Analysis Computer Simulation Bayes Theorem Systems Biology Models, Biological Monte Carlo Method
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Enhancing prediction and stratifying risk: machine learning and bayesian-learning models for catheter-related thrombosis in chemotherapy patients.

BMC cancer Mar 27, 2025
BACKGROUND: Catheter-related thrombosis (CRT) is a serious complication in cancer patients undergoing chemotherapy, yet existing risk prediction models demonstrate limited accuracy. This study aimed to evaluate the clinical utility of machine learnin...
Aged Adult Breast Neoplasms Antineoplastic Agents ROC Curve Middle Aged Machine Learning Thrombosis Risk Assessment Retrospective Studies Female Catheterization, Central Venous Humans Proportional Hazards Models Risk Factors Bayes Theorem Central Venous Catheters
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Exploring new drug treatment targets for immune related bone diseases using a multi omics joint analysis strategy.

Scientific reports Mar 27, 2025
In the field of treatment and prevention of immune-related bone diseases, significant challenges persist, necessitating the urgent exploration of new and effective treatment methods. However, most existing Mendelian randomization (MR) studies are con...
Linkage Disequilibrium Polymorphism, Single Nucleotide Humans Bayes Theorem Immune System Diseases Genome-Wide Association Study Multiomics Bone Diseases Genetic Predisposition to Disease Mendelian Randomization Analysis Quantitative Trait Loci
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Intelligent progress monitoring of healing wound tissues based on classification models.

Biomedical physics & engineering express Mar 26, 2025
The evolution of wound monitoring techniques has seen a significant shift from traditional methods like ruler-based measurements to the use of AI-assisted assessment of wound tissues. This progression has been driven by the need for more accurate, ef...
Algorithms Support Vector Machine Wound Healing Wounds and Injuries Decision Trees Bayes Theorem Humans Artificial Intelligence
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Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey.

BMJ open Mar 22, 2025
OBJECTIVES: This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data.
Tanzania Logistic Models Bayes Theorem Supervised Machine Learning Algorithms Humans Health Surveys Female Male Machine Learning Vaccination Cross-Sectional Studies Infant
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A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems.

IEEE transactions on bio-medical engineering Mar 21, 2025
This paper proposes a method to learn approximations of missing Ordinary Differential Equations (ODEs) and states in physiological models where knowledge of the system's relevant states and dynamics is incomplete. The proposed method augments known O...
Bayes Theorem Models, Biological Neural Networks, Computer Algorithms Computer Simulation Humans
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PULSE: A DL-Assisted Physics-Based Approach to the Inverse Problem of Electrocardiography.

IEEE transactions on bio-medical engineering Mar 21, 2025
This study introduces an innovative approach combining deep-learning techniques with classical physics-based electrocardiographic imaging (ECGI) methods. Our objective is to enhance the accuracy and robustness of ECGI reconstructions. We reshape the ...
Humans Neural Networks, Computer Electrocardiography Bayes Theorem Signal Processing, Computer-Assisted Heart Algorithms Deep Learning Image Processing, Computer-Assisted
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Machine learning allows robust classification of lung neoplasm tissue using an electronic biopsy through minimally-invasive electrical impedance spectroscopy.

Scientific reports Mar 21, 2025
New bronchoscopy techniques like radial probe endobronchial ultrasound have been developed for real-time sampling characterization, but their use is still limited. This study aims to use classification algorithms with minimally invasive electrical im...
Discriminant Analysis Biopsy Dielectric Spectroscopy Bronchoscopy Decision Trees Bayes Theorem Algorithms Female Male Lung Neoplasms Support Vector Machine Middle Aged ROC Curve Humans Machine Learning
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Development and validation comparison of multiple models for perioperative neurocognitive disorders during hip arthroplasty.

Scientific reports Mar 19, 2025
This study aims to develop optimal predictive models for perioperative neurocognitive disorders (PND) in hip arthroplasty patients, thereby advancing clinical practice. Data from all hip arthroplasty patients in the MIMIC-IV database were utilized to...
Humans Aged Male Middle Aged ROC Curve Neural Networks, Computer Algorithms Female Perioperative Period Support Vector Machine Neurocognitive Disorders Bayes Theorem Arthroplasty, Replacement, Hip
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Neural network-based ensemble approach for multi-view facial expression recognition.

PloS one Mar 19, 2025
In this paper, we developed a pose-aware facial expression recognition technique. The proposed technique employed K nearest neighbor for pose detection and a neural network-based extended stacking ensemble model for pose-aware facial expression recog...
Face Facial Expression Algorithms Humans Bayes Theorem Neural Networks, Computer Automated Facial Recognition
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