AIMC Topic: Models, Statistical

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Enhancing AI-driven forecasting of diabetes burden: a comparative analysis of deep learning and statistical models.

Scientific reports Aug 9, 2025
Accurate forecasting of diabetes burden is essential for healthcare planning, resource allocation, and policy-making. While deep learning models have demonstrated superior predictive capabilities, their real-world applicability is constrained by comp...
Humans Models, Statistical Cost of Illness Disability-Adjusted Life Years Forecasting Deep Learning Diabetes Mellitus
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Statistical variability in comparing accuracy of neuroimaging based classification models via cross validation.

Scientific reports Aug 6, 2025
Machine learning (ML) has significantly transformed biomedical research, leading to a growing interest in model development to advance classification accuracy in various clinical applications. However, this progress raises essential questions regardi...
Models, Statistical Neuroimaging Humans Machine Learning Reproducibility of Results
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Primary prevention cardiovascular disease risk prediction model for contemporary Chinese (1°P-CARDIAC): Model derivation and validation using a hybrid statistical and machine-learning approach.

PloS one Jul 28, 2025
BACKGROUND: Cardiovascular disease (CVD) is the leading cause of mortality and morbidity in China and worldwide while we are lacking in validated primary prevention model specifically for Chinese. To identify CVD high-risk individuals for early inter...
Humans Machine Learning Middle Aged Aged Models, Statistical Risk Assessment Male Female Hong Kong East Asian People Cardiovascular Diseases Risk Factors Primary Prevention
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Development and performance of female breast cancer incidence risk prediction models: a systematic review and meta-analysis.

Annals of medicine Jul 20, 2025
INTRODUCTION: Accurate breast cancer risk prediction is essential for early detection and personalized prevention strategies. While traditional models, such as Gail and Tyrer-Cuzick, are widely utilized, machine learning-based approaches may offer en...
Female Risk Factors Breast Neoplasms Humans Machine Learning Models, Statistical Risk Assessment Incidence Early Detection of Cancer
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Reflections on dynamic prediction of Alzheimer's disease: advancements in modeling longitudinal outcomes and time-to-event data.

BMC medical research methodology Jul 17, 2025
BACKGROUND: Individualized prediction of health outcomes supports clinical medicine and decision making. Our primary objective was to offer a comprehensive survey of methods for the dynamic prediction of Alzheimer's disease (AD), encompassing both co...
Alzheimer Disease Humans Prognosis Deep Learning Longitudinal Studies Models, Statistical
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Statistical and machine learning models for predicting university dropout and scholarship impact.

PloS one Jun 25, 2025
Although student dropout is an inevitable aspect of university enrollment, when analyzed, universities can gather information which enables them to take preventative actions that mitigate dropout risk. We study a data set consisting of 4,424 records ...
Female Young Adult Adult Male Students Universities Humans Machine Learning Student Dropouts Models, Statistical Portugal Fellowships and Scholarships
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MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting.

Physics in medicine and biology Jun 16, 2025
Magnetic resonance imaging (MRI) is essential in clinical and research contexts, providing exceptional soft-tissue contrast. However, prolonged acquisition times often lead to patient discomfort and motion artifacts. Diffusion-based deep learning sup...
Signal-To-Noise Ratio Humans Prostate Diffusion Image Processing, Computer-Assisted Brain Magnetic Resonance Imaging Models, Statistical Male Deep Learning
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Associations between all-cause and ischemic heart disease mortality and long-term ambient ultrafine particles exposure: a comparison of statistical and machine learning exposure models.

Environment international Jun 4, 2025
BACKGROUND: Evidence about the health effects of ultrafine particles (UFPs) remains limited, especially due to challenges in estimating exposure in epidemiological studies.
Quebec Particulate Matter Environmental Exposure Myocardial Ischemia Air Pollutants Air Pollution Retrospective Studies Female Aged Humans Male Machine Learning Middle Aged Models, Statistical
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A comparative study of various statistical and machine learning models for predicting restaurant demand in Bangladesh.

PloS one Jun 4, 2025
Precise demand forecasting has become crucial for merchants due to the growing complexity of client behavior and market dynamics. This allows them to enhance inventory management, minimize instances of stock outs, and enhance overall operational effi...
Bangladesh Restaurants Algorithms Humans Forecasting Machine Learning Models, Statistical
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Enhancing particulate matter prediction in Delhi: insights from statistical and machine learning models.

Environmental monitoring and assessment Jun 3, 2025
This study advances our approach to modeling particulate matter levels-specifically, PM and PM-in Delhi's dynamic urban environment through an extensive evaluation of traditional time series models (ARIMAX, SARIMAX) and machine learning models (RF, S...
Machine Learning Particulate Matter Models, Statistical India Air Pollutants Cities Seasons Air Pollution Environmental Monitoring
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