AIMC Topic: Bayes Theorem

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Prediction of Interactomic HUB Genes in Periodontitis With Acute Myocardial Infarction.

The Journal of craniofacial surgery Jun 3, 2024
BACKGROUND: Acute myocardial infarction (AMI) risk correlates with C-reactive protein (CRP) levels, suggesting systemic inflammation is present well before AMI. Studying different types of periodontal disease (PD), extremely common in individuals at ...
Humans Machine Learning Periodontitis Bayes Theorem Myocardial Infarction Gene Expression Profiling Transcriptome Biomarkers
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Enhancing liver fibrosis diagnosis and treatment assessment: a novel biomechanical markers-based machine learning approach.

Physics in medicine and biology May 30, 2024
Accurate diagnosis and treatment assessment of liver fibrosis face significant challenges, including inherent limitations in current techniques like sampling errors and inter-observer variability. Addressing this, our study introduces a novel machine...
Humans Machine Learning Biomarkers Liver Cirrhosis Bayes Theorem Biomechanical Phenomena Mechanical Phenomena Animals
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Forecasting fish mortality from water and air quality data using deep learning models.

Journal of environmental quality May 29, 2024
The high rate of aquatic mortality incidents recorded in Taiwan and worldwide is creating an urgent demand for more accurate fish mortality prediction. Present study innovatively integrated air and water quality data to measure water quality degradat...
Water Quality Taiwan Bayes Theorem Fishes Deep Learning Environmental Monitoring Forecasting Animals
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Emotion recognition for human-computer interaction using high-level descriptors.

Scientific reports May 27, 2024
Recent research has focused extensively on employing Deep Learning (DL) techniques, particularly Convolutional Neural Networks (CNN), for Speech Emotion Recognition (SER). This study addresses the burgeoning interest in leveraging DL for SER, specifi...
Humans Algorithms Language Neural Networks, Computer Emotions Deep Learning Social Media Speech Bayes Theorem
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Prediction of Cognitive Impairment Risk among Older Adults: A Machine Learning-Based Comparative Study and Model Development.

Dementia and geriatric cognitive disorders May 22, 2024
INTRODUCTION: The prevalence of cognitive impairment and dementia in the older population is increasing, and thereby, early detection of cognitive decline is essential for effective intervention.
Aged Neuropsychological Tests Algorithms Aged, 80 and over Humans Cohort Studies Middle Aged Female Machine Learning Cognitive Dysfunction Bayes Theorem Risk Factors Male
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Boosting wisdom of the crowd for medical image annotation using training performance and task features.

Cognitive research: principles and implications May 20, 2024
A crucial bottleneck in medical artificial intelligence (AI) is high-quality labeled medical datasets. In this paper, we test a large variety of wisdom of the crowd algorithms to label medical images that were initially classified by individuals recr...
Humans Crowdsourcing Adult Bayes Theorem Artificial Intelligence Algorithms
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Machine learning-based classification of petrofacies in fine laminated limestones.

Anais da Academia Brasileira de Ciencias May 20, 2024
Characterization and development of hydrocarbon reservoirs depends on the classification of lithological patterns from well log data. In thin reservoir units, limited vertical data impedes the efficient classification of lithologies. We present a tes...
Machine Learning Support Vector Machine Bayes Theorem Oil and Gas Fields Geologic Sediments
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AI-based disease category prediction model using symptoms from low-resource Ethiopian language: Afaan Oromo text.

Scientific reports May 16, 2024
Automated disease diagnosis and prediction, powered by AI, play a crucial role in enabling medical professionals to deliver effective care to patients. While such predictive tools have been extensively explored in resource-rich languages like English...
Language Deep Learning Ethiopia Bayes Theorem Support Vector Machine Artificial Intelligence Machine Learning Algorithms Humans
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Evaluating distributed-learning on real-world obstetrics data: comparing distributed, centralized and local models.

Scientific reports May 15, 2024
This study focused on comparing distributed learning models with centralized and local models, assessing their efficacy in predicting specific delivery and patient-related outcomes in obstetrics using real-world data. The predictions focus on key mom...
Pregnancy Female Obstetrics Humans Machine Learning Decision Trees Bayes Theorem
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Enhancing genome-wide populus trait prediction through deep convolutional neural networks.

The Plant journal : for cell and molecular biology May 13, 2024
As a promising model, genome-based plant breeding has greatly promoted the improvement of agronomic traits. Traditional methods typically adopt linear regression models with clear assumptions, neither obtaining the linkage between phenotype and genot...
Populus Genome, Plant Plant Breeding Neural Networks, Computer Phenotype Genotype Bayes Theorem Deep Learning
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