AIMC Topic: Bayes Theorem

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Predicting maternal risk level using machine learning models.

BMC pregnancy and childbirth Dec 18, 2024
BACKGROUND: Maternal morbidity and mortality remain critical health concerns globally. As a result, reducing the maternal mortality ratio (MMR) is part of goal 3 in the global sustainable development goals (SDGs), and previously, it was an important ...
Maternal Mortality Humans Risk Assessment Logistic Models Support Vector Machine Principal Component Analysis Pregnancy Bayes Theorem Female Oman Adult Neural Networks, Computer Machine Learning Algorithms
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Machine learning-based predictive models for perioperative major adverse cardiovascular events in patients with stable coronary artery disease undergoing noncardiac surgery.

Computer methods and programs in biomedicine Dec 13, 2024
BACKGROUND AND OBJECTIVE: Accurate prediction of perioperative major adverse cardiovascular events (MACEs) is crucial, as it not only aids clinicians in comprehensively assessing patients' surgical risks and tailoring personalized surgical and periop...
Risk Assessment ROC Curve Bayes Theorem Coronary Artery Disease Surgical Procedures, Operative Aged Humans Male Machine Learning Female Middle Aged Risk Factors
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A supervised machine learning statistical design of experiment approach to modeling the barriers to effective snakebite treatment in Ghana.

PLoS neglected tropical diseases Dec 13, 2024
BACKGROUND: Snakebite envenoming is a serious condition that affects 2.5 million people and causes 81,000-138,000 deaths every year, particularly in tropical and subtropical regions. The World Health Organization has set a goal to halve the deaths an...
Models, Statistical Bayes Theorem Supervised Machine Learning Middle Aged Adolescent Child Antivenins Ghana Snake Bites Humans Female Young Adult Adult Male
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A machine learning approach for identifying anatomical biomarkers of early mild cognitive impairment.

PeerJ Dec 13, 2024
BACKGROUND: Alzheimer's Disease (AD) poses a major challenge as a neurodegenerative disorder, and early detection is critical for effective intervention. Magnetic resonance imaging (MRI) is a critical tool in AD research due to its availability and c...
Aged Alzheimer Disease Biomarkers Aged, 80 and over Early Diagnosis Cognitive Dysfunction Brain Humans Neuroimaging Magnetic Resonance Imaging Female Machine Learning Bayes Theorem Male
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A novel strategy for the MPPT in a photovoltaic system via sliding modes control.

PloS one Dec 13, 2024
This paper proposes a robust maximum power point tracking algorithm based on a super twisting sliding modes controller. The underlying idea is solving the classical trajectory tracking control problem where the maximum power point defines the referen...
Neural Networks, Computer Algorithms Computer Simulation Temperature Solar Energy Models, Theoretical Electric Power Supplies Bayes Theorem
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Unsupervised Bayesian generation of synthetic CT from CBCT using patient-specific score-based prior.

Medical physics Dec 12, 2024
BACKGROUND: Cone-beam computed tomography (CBCT) scans, performed fractionally (e.g., daily or weekly), are widely utilized for patient alignment in the image-guided radiotherapy (IGRT) process, thereby making it a potential imaging modality for the ...
Humans Cone-Beam Computed Tomography Image Processing, Computer-Assisted Unsupervised Machine Learning Bayes Theorem
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Adaptive expert fusion model for online wind power prediction.

Neural networks : the official journal of the International Neural Network Society Dec 10, 2024
Wind power prediction is a challenging task due to the high variability and uncertainty of wind generation and weather conditions. Accurate and timely wind power prediction is essential for optimal power system operation and planning. In this paper, ...
Uncertainty Forecasting Wind Neural Networks, Computer Bayes Theorem
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A rapid method for assessing seed drought resistance using integrated ID-BOA-SVM.

Analytical methods : advancing methods and applications Dec 5, 2024
This study investigates the application of near-infrared spectroscopy (NIR) for assessing drought resistance in seeds, aiming to offer a rapid and efficient method suitable for large-scale primary screening. NIR spectroscopy is utilized to analyze fo...
Spectroscopy, Near-Infrared Water Zea mays Droughts Drought Resistance Support Vector Machine Seeds Bayes Theorem
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Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings.

Neural networks : the official journal of the International Neural Network Society Dec 4, 2024
This article proposes a novel deep clustering model based on the variational autoencoder (VAE), named GamMM-VAE, which can learn latent representations of training data for clustering in an unsupervised manner. Most existing VAE-based deep clustering...
Cluster Analysis Neural Networks, Computer Autoencoder Humans Bayes Theorem Algorithms Normal Distribution Deep Learning
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Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model.

CPT: pharmacometrics & systems pharmacology Dec 4, 2024
The pharmaceutical industry has increasingly adopted model-informed drug discovery and development (MID3) to enhance productivity in drug discovery and development. Quantitative systems pharmacology (QSP), which integrates drug action mechanisms and ...
Humans Computer Simulation Bayes Theorem Machine Learning Drug Discovery Drug Development
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