AIMC Topic: Bayes Theorem

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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...
Environmental Exposure Child Bayes Theorem Risk Factors Humans Leukemia, Myeloid, Acute Machine Learning Algorithms
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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...
Ciprofloxacin Adsorption Machine Learning Bayes Theorem Anti-Bacterial Agents Algorithms Water Pollutants, Chemical
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Radial polarisation patterns identify macular damage: a machine learning approach.

Clinical & experimental optometry Oct 7, 2024
CLINICAL RELEVANCE: Identifying polarisation-modulated patterns may be an effective method for both detecting and monitoring macular damage.
Aged Aged, 80 and over Cross-Sectional Studies Male Humans Tomography, Optical Coherence Diabetic Retinopathy Bayes Theorem Machine Learning Female Macula Lutea Middle Aged Epiretinal Membrane ROC Curve Visual Acuity
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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 Encephalitis Female Humans Aged Bayes Theorem Machine Learning Adult Hashimoto Disease 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 ...
Algorithms Bayes Theorem Attention Computer Graphics Humans Neural Networks, Computer Machine Learning
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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...
Middle Aged Decision Support Systems, Clinical Support Vector Machine Bayes Theorem Algorithms Female Breast Neoplasms Artificial Intelligence Machine Learning Humans
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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...
Environmental Monitoring Bayes Theorem Carbon Monoxide Uncertainty COVID-19 Risk Assessment China Humans 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...
Body Mass Index Predictive Value of Tests Area Under Curve Non-alcoholic Fatty Liver Disease Iran Bayes Theorem Body Composition Middle Aged ROC Curve Logistic Models Machine Learning Risk Factors Algorithms Adult Prospective Studies Male Female Humans
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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 ...
Algorithms Neoplasms Single-Cell Analysis Computational Biology Bayes Theorem Humans Linear Models Neural Networks, Computer
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Machine learning algorithms for the evaluation of risk by tick-borne pathogens in Europe.

Annals of medicine Sep 30, 2024
BACKGROUND: Tick-borne pathogens pose a major threat to human health worldwide. Understanding the epidemiology of tick-borne diseases to reduce their impact on human health requires models covering large geographic areas and considering both the abio...
Risk Assessment Tick-Borne Diseases Algorithms Europe Dermacentor Humans Bayes Theorem Animals Ixodidae Ticks Neural Networks, Computer Ecosystem Ixodes Machine Learning
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