AIMC Topic: Bayes Theorem

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Bayesian Optimization-Enhanced Reinforcement learning for Self-adaptive and multi-objective control of wastewater treatment.

Bioresource technology Feb 9, 2025
Controllers of wastewater treatment plants (WWTPs) often struggle to maintain optimal performance due to dynamic influent characteristics and the need to balance multiple operational objectives. In this study, Reinforcement Learning (RL) algorithms a...
Machine Learning Wastewater Algorithms Water Purification Waste Disposal, Fluid Bayes Theorem Sewage
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A numerical treatment through Bayesian regularization neural network for the chickenpox disease model.

Computers in biology and medicine Feb 8, 2025
OBJECTIVES: The current research investigations designates the numerical solutions of the chickenpox disease model by applying a proficient optimization framework based on the artificial neural network. The mathematical form of the chickenpox disease...
Models, Biological Chickenpox Neural Networks, Computer Humans Animals Bayes Theorem
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A comprehensive analysis of deep learning and transfer learning techniques for skin cancer classification.

Scientific reports Feb 7, 2025
Accurately and early diagnosis of melanoma is one of the challenging tasks due to its unique characteristics and different shapes of skin lesions. So, in order to solve this issue, the current study examines various deep learning-based approaches and...
Skin Neoplasms Dermoscopy Deep Learning Image Processing, Computer-Assisted Bayes Theorem Image Interpretation, Computer-Assisted Machine Learning Algorithms Melanoma Humans Neural Networks, Computer
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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...
Linear Models Bangladesh Male Bayes Theorem Humans Forecasting Child Mortality Infant Machine Learning Female Infant Mortality Child, Preschool Infant, Newborn
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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).
Bayes Theorem Humans Machine Learning Algorithms Regression Analysis
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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...
Female Young Adult Adult Humans Machine Learning Algorithms Nutrition Surveys United States Support Vector Machine Asthma Male Middle Aged Bayes Theorem
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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 Adult Humans Bayes Theorem Head and Neck Neoplasms Machine Learning Saliva Support Vector Machine Tomography, X-Ray Computed 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...
Chest Pain Emergency Medical Services Emergency Service, Hospital Bayes Theorem Artificial Intelligence Male Humans Female Middle Aged Adult Surveys and Questionnaires
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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...
Neural Networks, Computer Algorithms Bayes Theorem Humans Probability Uncertainty
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