AIMC Topic: Forecasting

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Forecasting Pediatric Trauma Volumes: Insights From a Retrospective Study Using Machine Learning.

The Journal of surgical research Dec 31, 2024
INTRODUCTION: Rising pediatric firearm-related fatalities in the United States strain Trauma Centers. Predicting trauma volume could improve resource management and preparedness, particularly if daily forecasts are achievable. The aim of the study is...
Child, Preschool Child Wounds and Injuries Trauma Centers United States Infant Adolescent Female Male Wounds, Gunshot Humans Machine Learning Forecasting Retrospective Studies
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Leveraging AHP and transfer learning in machine learning for improved prediction of infectious disease outbreaks.

Scientific reports Dec 31, 2024
Infectious diseases significantly impact both public health and economic stability, underscoring the critical need for precise outbreak predictions to effictively mitigate their impact. This study applies advanced machine learning techniques to forec...
Dengue Forecasting Communicable Diseases Machine Learning Algorithms Humans Disease Outbreaks Zika Virus Infection Chikungunya Fever
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A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning.

BMC medical research methodology Dec 31, 2024
BACKGROUND: The prediction of coronavirus disease in 2019 (COVID-19) in broader regions has been widely researched, but for specific areas such as urban areas the predictive models were rarely studied. It may be inaccurate to apply predictive models ...
Forecasting SARS-CoV-2 China Deep Learning Neural Networks, Computer COVID-19 Humans
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Improving prediction of solar radiation using Cheetah Optimizer and Random Forest.

PloS one Dec 20, 2024
In the contemporary context of a burgeoning energy crisis, the accurate and dependable prediction of Solar Radiation (SR) has emerged as an indispensable component within thermal systems to facilitate renewable energy generation. Machine Learning (ML...
Neural Networks, Computer Algorithms Machine Learning Random Forest Forecasting Solar Energy Sunlight Logistic Models Support Vector Machine
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ST-GMLP: A concise spatial-temporal framework based on gated multi-layer perceptron for traffic flow forecasting.

Neural networks : the official journal of the International Neural Network Society Dec 19, 2024
The field of traffic forecasting has been the subject of considerable attention as a critical component in alleviating traffic congestion and improving urban services. Given the regular patterns of human activities, it is evident that traffic flow is...
Spatio-Temporal Analysis Multilayer Perceptrons Neural Networks, Computer Forecasting Humans
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The Future of Artificial Intelligence in Healthcare.

Journal of Nepal Health Research Council Dec 19, 2024
N/A.
Forecasting Delivery of Health Care Humans Artificial Intelligence Nepal
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Enhanced forecasting of emergency department patient arrivals using feature engineering approach and machine learning.

BMC medical informatics and decision making Dec 18, 2024
BACKGROUND: Emergency department (ED) overcrowding is an important problem in many countries. Accurate predictions of ED patient arrivals can help management to better allocate staff and medical resources. In this study, we investigate the use of cal...
Machine Learning Forecasting Crowding Emergency Service, Hospital Humans
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Improving WRF-Chem PM predictions by combining data assimilation and deep-learning-based bias correction.

Environment international Dec 15, 2024
In numerical model simulations, data assimilation (DA) on the initial conditions and bias correction (BC) of model outputs have been proven to be promising approaches to improving PM (particulate matter with an aerodynamic equivalent diameter of ≤ 2....
China Environmental Monitoring Particle Size Forecasting Deep Learning Particulate Matter Air Pollutants Air Pollution
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A hybrid deep learning model based on signal decomposition and dynamic feature selection for forecasting the influent parameters of wastewater treatment plants.

Environmental research Dec 12, 2024
Accurate prediction of influent parameters such as chemical oxygen demand (COD) and biochemical oxygen demand over five days (BOD) is crucial for optimizing wastewater treatment processes, enhancing efficiency, and reducing costs. Traditional predict...
Waste Disposal, Fluid Models, Theoretical Biological Oxygen Demand Analysis Forecasting Deep Learning Wastewater
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Adaptive expert fusion model for online wind power prediction.

Neural networks : the official journal of the International Neural Network Society Dec 10, 2024
Wind power prediction is a challenging task due to the high variability and uncertainty of wind generation and weather conditions. Accurate and timely wind power prediction is essential for optimal power system operation and planning. In this paper, ...
Wind Bayes Theorem Uncertainty Neural Networks, Computer Forecasting
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