AIMC Topic: Bayes Theorem

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Prediction of the risk of mortality in older patients with coronavirus disease 2019 using blood markers and machine learning.

Frontiers in immunology Nov 1, 2024
INTRODUCTION: The mortality rate among older people infected with severe acute respiratory syndrome coronavirus 2 is alarmingly high. This study aimed to explore the predictive value of a novel model for assessing the risk of death in this vulnerable...
Area Under Curve SARS-CoV-2 Bayes Theorem Aged Prediction Algorithms Aged, 80 and over Lymphocytes Monocytes Leukocyte Count Male Neutrophils China Regression Analysis Predictive Value of Tests Interleukin-6 C-Reactive Protein Biomarkers Humans Female Machine Learning COVID-19
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Effects of interval treadmill training on spatiotemporal parameters in children with cerebral palsy: A machine learning approach.

Journal of biomechanics Oct 28, 2024
Quantifying individualized rehabilitation responses and optimizing therapy for each person is challenging. For interventions like treadmill training, there are multiple parameters, such as speed or incline, that can be adjusted throughout sessions. T...
Child Bayes Theorem Exercise Test Cerebral Palsy Gait Exercise Therapy Male Adolescent Child, Preschool Humans Machine Learning Female
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Machine learning reveals correlations between brain age and mechanics.

Acta biomaterialia Oct 28, 2024
Our brain undergoes significant micro- and macroscopic changes throughout its life cycle. It is therefore crucial to understand the effect of aging on the mechanical properties of the brain in order to develop accurate personalized simulations and di...
Compressive Strength Bayes Theorem Stress, Mechanical Anisotropy Machine Learning Brain Aging Biomechanical Phenomena Swine Animals
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Machine learning driven bioequivalence risk assessment at an early stage of generic drug development.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V Oct 26, 2024
BACKGROUND: Bioequivalence risk assessment as an extension of quality risk management lacks examples of quantitative approaches to risk assessment at an early stage of generic drug development. The aim of our study was to develop a model-based approa...
Humans Drugs, Generic Bayes Theorem Solubility Biological Availability Therapeutic Equivalency Machine Learning Risk Assessment Drug Development
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An Efficient Muscle Segmentation Method via Bayesian Fusion of Probabilistic Shape Modeling and Deep Edge Detection.

IEEE transactions on bio-medical engineering Oct 25, 2024
OBJECTIVE: Paraspinal muscle segmentation and reconstruction from MR images are critical to implement quantitative assessment of chronic and recurrent low back pains. Due to unclear muscle boundaries and shape variations, current segmentation methods...
Paraspinal Muscles Adult Deep Learning Imaging, Three-Dimensional Bayes Theorem Low Back Pain Magnetic Resonance Imaging Models, Statistical Humans Algorithms
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Machine learning-based identification and validation of immune-related biomarkers for early diagnosis and targeted therapy in diabetic retinopathy.

Gene Oct 18, 2024
The early diagnosis of diabetic retinopathy (DR) is challenging, highlighting the urgent need to identify new biomarkers. Immune responses play a crucial role in DR, yet there are currently no reports of machine learning (ML) algorithms being utilize...
Humans Diabetic Retinopathy Molecular Docking Simulation Gene Expression Profiling Gene Regulatory Networks Support Vector Machine Machine Learning Algorithms Biomarkers Bayes Theorem Early Diagnosis Molecular Targeted Therapy
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Leveraging Broad-Spectrum Fluorescence Data and Machine Learning for High-Accuracy Bacterial Species Identification.

Journal of biophotonics Oct 17, 2024
Rapid and accurate identification of bacterial species is essential for the effective treatment of infectious diseases and suppression of antibiotic-resistant strains. The unique autofluorescence properties of bacterial cells are exploited for rapid ...
Spectrometry, Fluorescence Bayes Theorem Machine Learning Bacteria
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Enhancing the accuracy and effectiveness of diagnosis of spontaneous bacterial peritonitis in cirrhotic patients: A machine learning approach utilizing clinical and laboratory data.

Advances in medical sciences Oct 16, 2024
PURPOSE: Spontaneous bacterial peritonitis (SBP) is a bacterial infection of ascitic fluid that develops naturally, without being triggered by any surgical conditions or procedures, and is a common complication of cirrhosis. With a potential mortalit...
Female Peritonitis Aged Male Humans Bacterial Infections Middle Aged Machine Learning Bayes Theorem Liver Cirrhosis Biomarkers
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Fixing imbalanced binary classification: An asymmetric Bayesian learning approach.

PloS one Oct 16, 2024
Most statistical and machine learning models used for binary data modeling and classification assume that the data are balanced. However, this assumption can lead to poor predictive performance and bias in parameter estimation when there is an imbala...
Algorithms Logistic Models Models, Statistical Humans Machine Learning Bayes Theorem
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Determining domestic violence against women using machine learning methods: The case of Türkiye.

Journal of evaluation in clinical practice Oct 13, 2024
BACKGROUND: Domestic violence against women is a pervasive issue globally, representing a severe violation of human rights and a significant public health concern. The hidden nature of such violence and its frequent underreporting make it a critical ...
Logistic Models Algorithms Support Vector Machine Female Bayes Theorem Humans Adult Domestic Violence Risk Factors Machine Learning Cross-Sectional Studies Young Adult Middle Aged
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