AIMC Topic: Bayes Theorem

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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.

PloS one Feb 7, 2025
BACKGROUND: Under-5 mortality remains a critical social indicator of a country's development and economic sustainability, particularly in developing nations like Bangladesh. This study employs machine learning models, including Linear Regression, Rid...
Child, Preschool Humans Bayes Theorem Machine Learning Child Mortality Forecasting Male Female Infant Infant, Newborn Infant Mortality Linear Models Bangladesh
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Do Machine Learning Approaches Perform Better Than Regression Models in Mapping Studies? A Systematic Review.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Feb 6, 2025
OBJECTIVES: To identify how machine learning (ML) approaches were implemented in mapping studies and to determine the extent to which ML improved performance compared with regression models (RMs).
Machine Learning Algorithms Regression Analysis Bayes Theorem Humans
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Assessing the diagnostic accuracy of machine learning algorithms for identification of asthma in United States adults based on NHANES dataset.

Scientific reports Feb 6, 2025
Asthma diagnosis poses challenges due to underreporting of symptoms, misdiagnoses, and limitations in existing diagnostic tests. Machine learning (ML) offers a promising avenue for addressing these challenges by leveraging demographic and clinical da...
Young Adult Adult Asthma Algorithms Female United States Support Vector Machine Bayes Theorem Male Middle Aged Nutrition Surveys Humans Machine Learning
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A comparison of different machine learning classifiers in predicting xerostomia and sticky saliva due to head and neck radiotherapy using a multi-objective, multimodal radiomics model.

Biomedical physics & engineering express Feb 6, 2025
. Although radiotherapy techniques are a primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity and side effects. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on featu...
Radiomics Male Middle Aged Female Aged Humans Adult Machine Learning Bayes Theorem Tomography, X-Ray Computed Head and Neck Neoplasms Saliva Support Vector Machine Xerostomia Magnetic Resonance Imaging
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Decoding the cytokine code for heart failure based on bioinformatics, machine learning and Bayesian networks.

Biochimica et biophysica acta. Molecular basis of disease Feb 4, 2025
BACKGROUND: Despite maximal pharmacological treatment guided by clinical guidelines, the prognosis of heart failure (HF) remains poor, posing a significant public health burden. This necessitates uncovering novel pathological and cardioprotective pat...
Databases, Genetic Bayes Theorem Heart Failure Cytokines Gene Regulatory Networks Computational Biology Humans Machine Learning
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Human-centred AI for emergency cardiac care: Evaluating RAPIDx AI with PROLIFERATE_AI.

International journal of medical informatics Jan 28, 2025
BACKGROUND: Chest pain diagnosis in emergency care is hindered by overlapping cardiac and non-cardiac symptoms, causing diagnostic uncertainty. Artificial Intelligence, such as RAPIDx AI, aims to enhance accuracy through clinical and biochemical data...
Female Adult Male Middle Aged Surveys and Questionnaires Emergency Medical Services Humans Artificial Intelligence Emergency Service, Hospital Bayes Theorem Chest Pain
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CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2025
Effective uncertainty estimation is becoming increasingly attractive for enhancing the reliability of neural networks. This work presents a novel approach, termed Credal-Set Interval Neural Networks (CreINNs), for classification. CreINNs retain the f...
Humans Uncertainty Neural Networks, Computer Algorithms Bayes Theorem Probability
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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...
Multiple-Instance Learning Algorithms Humans Algorithms Machine Learning Bayes Theorem Image Interpretation, Computer-Assisted
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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...
Construction Industry Sustainable Development Machine Learning China Bayes Theorem
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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 Boosting Machine Learning Algorithms Male Diabetes Mellitus Humans Machine Learning Algorithms Female
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