AIMC Topic: Forecasting

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A prospective real-time transfer learning approach to estimate influenza hospitalizations with limited data.

Epidemics Feb 7, 2025
Accurate, real-time forecasts of influenza hospitalizations would facilitate prospective resource allocation and public health preparedness. State-of-the-art machine learning methods are a promising approach to produce such forecasts, but they requir...
Seasons Machine Learning Forecasting Prospective Studies Hospitalization United States Influenza, Human Humans
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Analyzing and forecasting under-5 mortality trends in Bangladesh using machine learning techniques.

PloS one Feb 7, 2025
BACKGROUND: Under-5 mortality remains a critical social indicator of a country's development and economic sustainability, particularly in developing nations like Bangladesh. This study employs machine learning models, including Linear Regression, Rid...
Linear Models Bangladesh Male Bayes Theorem Forecasting Infant Female Humans Child Mortality Child, Preschool Infant, Newborn Machine Learning Infant Mortality
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Forecasting the Incidence of Mumps Based on the Baidu Index and Environmental Data in Yunnan, China: Deep Learning Model Study.

Journal of medical Internet research Feb 6, 2025
BACKGROUND: Mumps is a viral respiratory disease characterized by facial swelling and transmitted through respiratory secretions. Despite the availability of an effective vaccine, mumps outbreaks have reemerged globally, including in China, where it ...
Disease Outbreaks Deep Learning Incidence Forecasting China Female Mumps Male Humans
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Leveraging deep-learning and unconventional data for real-time surveillance, forecasting, and early warning of respiratory pathogens outbreak.

Artificial intelligence in medicine Feb 1, 2025
BACKGROUND: Controlling re-emerging outbreaks such as COVID-19 is a critical concern to global health. Disease forecasting solutions are extremely beneficial to public health emergency management. This work aims to design and deploy a framework for r...
Pandemics COVID-19 Forecasting Humans Neural Networks, Computer Canada Influenza, Human Coronavirus Infections SARS-CoV-2 Disease Outbreaks Deep Learning Pneumonia, Viral
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A novel graph neural network based approach for influenza-like illness nowcasting: exploring the interplay of temporal, geographical, and functional spatial features.

BMC public health Feb 1, 2025
BACKGROUND: Accurate and timely monitoring of influenza prevalence is essential for effective healthcare interventions. This study proposes a graph neural network (GNN)-based method to address the issue of cross-regional connectivity in predicting in...
Humans Spatio-Temporal Analysis Influenza, Human Graph Neural Networks Neural Networks, Computer Forecasting Disease Outbreaks
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Artificial intelligence in surgery: evolution, trends, and future directions.

International journal of surgery (London, England) Feb 1, 2025
Artificial intelligence (AI) is significantly transforming surgery by enhancing precision, decision-making, and patient outcomes. This bibliometric analysis examines AI's impact on surgery, highlighting research trends, key contributors, and evolving...
Bibliometrics General Surgery Surgical Procedures, Operative Humans Artificial Intelligence Forecasting
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Integrating deep learning algorithms for forecasting evapotranspiration and assessing crop water stress in agricultural water management.

Journal of environmental management Jan 31, 2025
The increasing impacts of climate change on global agriculture necessitate the development of advanced predictive models for efficient water management in crop fields. This study aims to enhance the forecasting of evapotranspiration (ET), potential e...
Climate Change Neural Networks, Computer Crops, Agricultural Deep Learning Agricultural Irrigation Algorithms Water Forecasting Agriculture
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Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.

PloS one Jan 27, 2025
During winter months, there is increased pressure on health care systems in temperature climates due to seasonal increases in respiratory illnesses. Providing real-time short-term forecasts of the demand for health care services helps managers plan t...
England Child, Preschool Emergency Service, Hospital Seasons Respiratory Syncytial Virus Infections Health Services Needs and Demand Forecasting Infant Pilot Projects Humans Machine Learning
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The feasibility of using machine learning to predict COVID-19 cases.

International journal of medical informatics Jan 23, 2025
BACKGROUND: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported ...
SARS-CoV-2 Global Health Incidence Feasibility Studies COVID-19 Forecasting Humans Reproducibility of Results Machine Learning Pandemics
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Machine Learning Potential for Identifying and Forecasting Complex Environmental Drivers of Infections in the United States.

Environmental health perspectives Jan 23, 2025
BACKGROUND: Environmental change in coastal areas can drive marine bacteria and resulting infections, such as those caused by , with both foodborne and nonfoodborne exposure routes and high mortality. Although ecological drivers of in the environmen...
Vibrio Infections Vibrio vulnificus Forecasting United States Humans Machine Learning
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