AIMC Topic: Bayes Theorem

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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...
Logistic Models Models, Statistical Bayes Theorem Humans Machine Learning Algorithms
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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 ...
Female Risk Factors Young Adult Humans Machine Learning Algorithms Logistic Models Adult Cross-Sectional Studies Support Vector Machine Middle Aged Bayes Theorem Domestic Violence
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Considerations for using tree-based machine learning to assess causation between demographic and environmental risk factors and health outcomes.

Environmental science and pollution research international Oct 12, 2024
Evaluation of the heterogeneous treatment effect (HTE) allows for the assessment of the causal effect of a therapy or intervention while considering heterogeneity in individual factors within a population. Machine learning (ML) methods have previousl...
Humans Machine Learning Algorithms Risk Factors Environmental Exposure Leukemia, Myeloid, Acute Child Bayes Theorem
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A novel interpretable machine learning and metaheuristic-based protocol to predict and optimize ciprofloxacin antibiotic adsorption with nano-adsorbent.

Journal of environmental management Oct 8, 2024
The existence of antibiotics in water sources poses substantial hazards to both the environment and public health. To effectively monitor and combat this problem, accurate predictive models are essential. This research focused on employing machine le...
Anti-Bacterial Agents Water Pollutants, Chemical Adsorption Bayes Theorem Ciprofloxacin Machine Learning Algorithms
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Interpretable machine learning model for predicting the prognosis of antibody positive autoimmune encephalitis patients.

Journal of affective disorders Oct 5, 2024
OBJECTIVE: The objective was to utilize nine machine learning (ML) methods to predict the prognosis of antibody positive autoimmune encephalitis (AE) patients.
Male Middle Aged Support Vector Machine Female Bayes Theorem Humans Hashimoto Disease Aged Machine Learning Encephalitis Adult Prognosis
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BAB-GSL: Using Bayesian influence with attention mechanism to optimize graph structure in basic views.

Neural networks : the official journal of the International Neural Network Society Oct 5, 2024
In recent years, Graph Neural Networks (GNNs) have garnered significant attention, with a notable focus on Graph Structure Learning (GSL), a branch dedicated to optimizing graph structures to enhance network training performance. Current GSL methods ...
Humans Bayes Theorem Attention Computer Graphics Neural Networks, Computer Machine Learning Algorithms
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CureMate: A clinical decision support system for breast cancer treatment.

International journal of medical informatics Oct 5, 2024
BACKGROUND: Breast Cancer (BC) poses significant challenges in treatment decision-making. Multiple first treatment lines are currently available, determined by several patient-specific factors that need to be considered in the decision-making process...
Support Vector Machine Bayes Theorem Breast Neoplasms Middle Aged Decision Support Systems, Clinical Humans Artificial Intelligence Machine Learning Algorithms Female
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Quantification of uncertainty in short-term tropospheric column density risks for a wide range of carbon monoxide.

Journal of environmental management Oct 2, 2024
The short-term risks associated with atmospheric trace gases, particularly carbon monoxide (CO), are critical for ecological security and human health. Traditional statistical methods, which still dominate the assessment of these risks, limit the pot...
Uncertainty Environmental Monitoring Bayes Theorem Carbon Monoxide COVID-19 Humans Risk Assessment China Machine Learning
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Machine-Learning Application for Predicting Metabolic Dysfunction-Associated Steatotic Liver Disease Using Laboratory and Body Composition Indicators.

Archives of Iranian medicine Oct 1, 2024
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a significant global health burden without established curative therapies. Early detection and preventive strategies are crucial for effective MASLD management. T...
Non-alcoholic Fatty Liver Disease Iran Machine Learning Area Under Curve Algorithms Bayes Theorem Prospective Studies Logistic Models Male Body Composition Humans Female Body Mass Index Middle Aged Risk Factors Predictive Value of Tests ROC Curve Adult
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scCrab: A Reference-Guided Cancer Cell Identification Method based on Bayesian Neural Networks.

Interdisciplinary sciences, computational life sciences Sep 30, 2024
Cancer is a significant global public health concern, where early detection can greatly enhance curative outcomes. Therefore, the identification of cancer cells holds significant importance as the primary method for cancer diagnosis. The advancement ...
Bayes Theorem Humans Linear Models Neural Networks, Computer Algorithms Neoplasms Single-Cell Analysis Computational Biology
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