AIMC Topic: Models, Statistical

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Spatiotemporal modelling of airborne birch and grass pollen concentration across Switzerland: A comparison of statistical, machine learning and ensemble methods.

Environmental research Sep 20, 2024
BACKGROUND: Statistical and machine learning models are commonly used to estimate spatial and temporal variability in exposure to environmental stressors, supporting epidemiological studies. We aimed to compare the performances, strengths and limitat...
Betula Switzerland Poaceae Pollen Environmental Monitoring Models, Statistical Air Pollutants Machine Learning Spatio-Temporal Analysis
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Development of a High-Resolution Indoor Radon Map Using a New Machine Learning-Based Probabilistic Model and German Radon Survey Data.

Environmental health perspectives Sep 18, 2024
BACKGROUND: Radon is a carcinogenic, radioactive gas that can accumulate indoors and is undetected by human senses. Therefore, accurate knowledge of indoor radon concentration is crucial for assessing radon-related health effects or identifying radon...
Radon Housing Radiation Monitoring Air Pollutants, Radioactive Humans Machine Learning Models, Statistical Air Pollution, Indoor Germany
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A hybrid approach for modeling bicycle crash frequencies: Integrating random forest based SHAP model with random parameter negative binomial regression model.

Accident; analysis and prevention Sep 16, 2024
To effectively capture and explain complex, nonlinear relationships within bicycle crash frequency data and account for unobserved heterogeneity simultaneously, this study proposes a new hybrid framework that combines the Random Forest-based SHapley ...
Humans Machine Learning Models, Statistical Regression Analysis Bayes Theorem Random Forest Algorithms Risk Factors Support Vector Machine Accidents, Traffic London Bicycling
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Handling missing data and measurement error for early-onset myopia risk prediction models.

BMC medical research methodology Sep 6, 2024
BACKGROUND: Early identification of children at high risk of developing myopia is essential to prevent myopia progression by introducing timely interventions. However, missing data and measurement error (ME) are common challenges in risk prediction m...
Bayes Theorem Age of Onset ROC Curve Logistic Models Models, Statistical Risk Factors Male Risk Assessment Humans Cohort Studies Machine Learning Myopia Child Female China
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Prediction on the spatial distribution of the seropositive rate of schistosomiasis in Hunan Province, China: a machine learning model integrated with the Kriging method.

Parasitology research Sep 4, 2024
Schistosomiasis remains a formidable challenge to global public health. This study aims to predict the spatial distribution of schistosomiasis seropositive rates in Hunan Province, pinpointing high-risk transmission areas and advocating for tailored ...
Humans Models, Statistical Seroepidemiologic Studies Spatial Analysis Schistosomiasis Machine Learning Animals China
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Statistical and machine learning models for location-specific crop yield prediction using weather indices.

International journal of biometeorology Aug 31, 2024
Crop yield prediction gains growing importance for all stakeholders in agriculture. Since the growth and development of crops are fully connected with many weather factors, it is inevitable to incorporate meteorological information into yield predict...
Neural Networks, Computer Weather Machine Learning Crops, Agricultural Models, Statistical
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Generative models for synthetic data generation: application to pharmacokinetic/pharmacodynamic data.

Journal of pharmacokinetics and pharmacodynamics Aug 27, 2024
The generation of synthetic patient data that reflect the statistical properties of real data plays a fundamental role in today's world because of its potential to (i) be enable proprietary data access for statistical and research purposes and (ii) i...
Neural Networks, Computer Humans Pharmacokinetics Deep Learning Models, Statistical
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Developing probabilistic ensemble machine learning models for home-based sleep apnea screening using overnight SpO2 data at varying data granularity.

Sleep & breathing = Schlaf & Atmung Aug 27, 2024
PURPOSE: This study aims to develop sleep apnea screening models with overnight SpO2 data, and to investigate the impact of the SpO2 data granularity on model performance.
Male Middle Aged Mass Screening Female Aged Adult Oxygen Saturation Polysomnography Oximetry Humans Models, Statistical Machine Learning Sleep Apnea Syndromes Sleep Apnea, Obstructive
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Mandibular Gender Dimorphism: The Utility of Artificial Intelligence and Statistical Shape Modeling in Skeletal Facial Analysis.

Aesthetic plastic surgery Aug 26, 2024
BACKGROUND: In gender-affirming surgery, facial skeletal dimorphism is an important topic for every craniofacial surgeon. Few cephalometric studies have assessed this topic; however, they fall short to provide skeletal contour insights that direct su...
Male Imaging, Three-Dimensional Mandible Sex Characteristics Models, Statistical Cephalometry Female Young Adult Adult Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed Humans
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Zero- and few-shot prompting of generative large language models provides weak assessment of risk of bias in clinical trials.

Research synthesis methods Aug 23, 2024
Existing systems for automating the assessment of risk-of-bias (RoB) in medical studies are supervised approaches that require substantial training data to work well. However, recent revisions to RoB guidelines have resulted in a scarcity of availabl...
Bias Humans Risk Assessment Algorithms Systematic Reviews as Topic Models, Statistical Research Design Clinical Trials as Topic Natural Language Processing Reproducibility of Results Risk Publication Bias
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