AIMC Topic: Models, Statistical

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Forecasting malaria cases using climate variability in Sierra Leone.

Malaria journal May 20, 2025
BACKGROUND: Malaria continues to pose a public health challenge in Sierra Leone, where timely and accurate forecasting can guide more effective interventions. Although seasonal models such as Seasonal Autoregressive Integrated Moving Average (SARIMA)...
Models, Statistical Malaria Seasons Climate Sierra Leone Neural Networks, Computer Forecasting Incidence Humans
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Systemic inflammation mediates the relationship between urinary cadmium and chronic cough risk: findings based on multiple statistical models.

Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine May 7, 2025
Epidemiological research examining the relationship between urinary cadmium and the risk of chronic cough remains scarce. This study included 2965 participants for a cross-sectional study from the NHANES. The weighted quantile sum (WQS) regression, b...
Chronic Cough Humans Middle Aged Adult Inflammation Chronic Disease Cross-Sectional Studies Machine Learning Models, Statistical Cough Male Female Cadmium Risk Factors
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Cyclist crash severity modeling: A hybrid approach of XGBoost-SHAP and random parameters logit with heterogeneity in means and variances.

Journal of safety research May 5, 2025
INTRODUCTION: Across the globe, policymakers are focusing on boosting sustainable transport options, notably cycling, to foster eco-friendly urban environments. However, the persistent safety challenges cyclists face continues to hinder these efforts...
Female Young Adult Adult Humans Accidents, Traffic Bicycling Male Adolescent Safety Boosting Machine Learning Algorithms Middle Aged Logistic Models United Kingdom Models, Statistical
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Probabilistic design space exploration and optimization via bayesian approach for a fluid bed drying process.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences May 3, 2025
The concept of Design Space (DS), delineated as a region of investigated variables aimed at maintaining product quality, was introduced in the International Conference on Harmonisation (ICH) Q8 as a framework to direct pharmaceutical development. How...
Desiccation Uncertainty Models, Statistical Bayes Theorem Technology, Pharmaceutical Reproducibility of Results
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Statistical algorithms for the analysis of deleterious genetic mutations.

Bio Systems Apr 30, 2025
We present algorithms for model selection and parameter estimation concerning deleterious genetic mutations. Three models are considered: single gene mutation, double cross-effect mutations or no genetic cause. Each of these models include unknown pa...
Breast Neoplasms Models, Genetic Models, Statistical Ovarian Neoplasms Mutation Algorithms Computer Simulation Female Humans
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A comparison of statistical methods for deriving occupancy estimates from machine learning outputs.

Scientific reports Apr 27, 2025
The combination of autonomous recording units (ARUs) and machine learning enables scalable biodiversity monitoring. These data are often analysed using occupancy models, yet methods for integrating machine learning outputs with these models are rarel...
Machine Learning Models, Statistical Biodiversity Animals
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Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting.

Neural networks : the official journal of the International Neural Network Society Apr 24, 2025
Long-term power load forecasting is critical for power system planning but is constrained by intricate temporal patterns. Transformer-based models emphasize modeling long- and short-term dependencies yet encounter limitations from complexity and para...
Humans Probability Electric Power Supplies Uncertainty Neural Networks, Computer Forecasting Models, Statistical
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An investigation into the impact of temporality on COVID-19 infection and mortality predictions: new perspective based on Shapley Values.

BMC medical research methodology Apr 24, 2025
INTRODUCTION: Machine learning models have been employed to predict COVID-19 infections and mortality, but many models were built on training and testing sets from different periods. The purpose of this study is to investigate the impact of temporali...
Models, Statistical Machine Learning COVID-19 SARS-CoV-2 Humans Brazil Time Factors Logistic Models
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Integrating AI for infectious disease prediction: A hybrid ANN-XGBoost model for leishmaniasis in Pakistan.

Acta tropica Apr 23, 2025
Addressing leishmaniasis infection remains a substantial challenge in KP-Pakistan due to the increased infection prevalence. Understanding its spreading tool offerings is a major challenge. We essentially design effective approaches to pinpoint its e...
Incidence Models, Statistical Pakistan Forecasting Prevalence Leishmaniasis Boosting Machine Learning Algorithms Humans
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A Neural Network Model for Intelligent Classification of Distal Radius Fractures Using Statistical Shape Model Extraction Features.

Orthopaedic surgery Apr 3, 2025
OBJECTIVE: Distal radius fractures account for 12%-17% of all fractures, with accurate classification being crucial for proper treatment planning. Studies have shown that in emergency settings, the misdiagnosis rate of hand/wrist fractures can reach ...
Neural Networks, Computer Tomography, X-Ray Computed Female Wrist Fractures Humans Aged Middle Aged Adult Models, Statistical Male Radius Fractures
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