AIMC Topic:
Bayes Theorem

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Ensemble of trees approaches to risk adjustment for evaluating a hospital's performance.

Health care management science Apr 29, 2014
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expected outcome rate given its patient (case) mix and service. The process of calculating the hospital'...
Pregnancy Complications Gestational Age Risk Adjustment Bayes Theorem Birth Weight Outcome Assessment, Health Care Diagnosis-Related Groups Hospital Administration Intensive Care Units, Neonatal Pregnancy Female Premature Birth Logistic Models Socioeconomic Factors Prenatal Care Hospital Mortality Humans Artificial Intelligence
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Aggregate features in multisample classification problems.

IEEE journal of biomedical and health informatics Apr 2, 2014
This paper evaluates the classification of multisample problems, such as electromyographic (EMG) data, by making aggregate features available to a per-sample classifier. It is found that the accuracy of this approach is superior to that of traditiona...
Humans Machine Learning Algorithms Decision Support Systems, Clinical Pattern Recognition, Automated Bayes Theorem Signal Processing, Computer-Assisted Electromyography
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A deep learning-based method for predicting the frequency classes of drug side effects based on multi-source similarity fusion.

Bioinformatics (Oxford, England) Jun 2, 2025
MOTIVATION: Drug side effects refer to harmful or adverse reactions that occur during drug use, unrelated to the therapeutic purpose. A core issue in drug side effect prediction is determining the frequency of these drug side effects in the populatio...
Computational Biology Bayes Theorem Drug-Related Side Effects and Adverse Reactions Humans Algorithms Deep Learning
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Score-Based Diffusion Models With Self-Supervised Learning for Accelerated 3D Multi-Contrast Cardiac MR Imaging.

IEEE transactions on medical imaging Jun 1, 2025
Long scan time significantly hinders the widespread applications of three-dimensional multi-contrast cardiac magnetic resonance (3D-MC-CMR) imaging. This study aims to accelerate 3D-MC-CMR acquisition by a novel method based on score-based diffusion ...
Magnetic Resonance Imaging Bayes Theorem Heart Supervised Machine Learning Humans Algorithms Imaging, Three-Dimensional
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Meteorological and traffic effects on air pollutants using Bayesian networks and deep learning.

Journal of environmental sciences (China) Jun 1, 2025
Traffic emissions have become the major air pollution source in urban areas. Therefore, understanding the highly non-stational and complex impact of traffic factors on air quality is very important for building air quality prediction models. Using re...
Deep Learning Vehicle Emissions Cities Environmental Monitoring Rain Taiwan Bayes Theorem Air Pollutants Air Pollution
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Impact of canny edge detection preprocessing on performance of machine learning models for Parkinson's disease classification.

Scientific reports May 12, 2025
This study investigates the classification of individuals as healthy or at risk of Parkinson's disease using machine learning (ML) models, focusing on the impact of dataset size and preprocessing techniques on model performance. Four datasets are cre...
Bayes Theorem Machine Learning Support Vector Machine Logistic Models Parkinson Disease Humans Decision Trees
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Predicting high-need high-cost pediatric hospitalized patients in China based on machine learning methods.

Scientific reports May 8, 2025
Rapidly increasing healthcare spending globally is significantly driven by high-need, high-cost (HNHC) patients, who account for the top 5% of annual healthcare costs but over half of total expenditures. The programs targeting existing HNHC patients ...
Humans Female Infant, Newborn Machine Learning Retrospective Studies China Child Adolescent ROC Curve Child, Preschool Hospitalization Bayes Theorem Male Health Care Costs Infant
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Comparison of different AI systems for diagnosing sepsis, septic shock, and cardiogenic shock: a retrospective study.

Scientific reports May 6, 2025
Sepsis, septic shock, and cardiogenic shock are life-threatening conditions associated with high mortality rates, but differentiating them is complex because they share certain symptoms. Using the Medical Information Mart for Intensive Care (MIMIC)-I...
Aged Adult Bayes Theorem Male Humans Middle Aged Artificial Intelligence Shock, Cardiogenic Neural Networks, Computer Sepsis Retrospective Studies Shock, Septic Female
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Forecasting Subjective Cognitive Decline: AI Approach Using Dynamic Bayesian Networks.

Journal of medical Internet research May 6, 2025
BACKGROUND: Several potentially modifiable risk factors are associated with subjective cognitive decline (SCD). However, developmental patterns of these risk factors have not been used before to forecast later SCD. Practical tools for the prevention ...
Bayes Theorem Finland Male Humans Middle Aged Cognitive Dysfunction Artificial Intelligence Female Risk Factors Adult
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Enhancing mechanical ventilator reliability through machine learning based predictive maintenance.

Technology and health care : official journal of the European Society for Engineering and Medicine May 1, 2025
BackgroundWith the advancement of Artificial Intelligence (AI), clinical engineering has witnessed transformative opportunities, enabling predictive maintenance of medical devices, optimization of healthcare workflows, and personalized patient care. ...
Equipment Failure Reproducibility of Results Ventilators, Mechanical Respiration, Artificial Decision Trees Humans Support Vector Machine Bayes Theorem Machine Learning Algorithms
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