AIMC Topic: Epidemiological Models

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Machine learning in epidemiology: Neural networks forecasting of monkeypox cases.

PloS one May 1, 2024
This study integrates advanced machine learning techniques, namely Artificial Neural Networks, Long Short-Term Memory, and Gated Recurrent Unit models, to forecast monkeypox outbreaks in Canada, Spain, the USA, and Portugal. The research focuses on t...
Humans Neural Networks, Computer Machine Learning United States Mpox, Monkeypox Portugal Epidemiological Models Algorithms Forecasting Canada
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Combining graph neural networks and spatio-temporal disease models to improve the prediction of weekly COVID-19 cases in Germany.

Scientific reports Mar 10, 2022
During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage healthcare resou...
Female Young Adult Adult Male Middle Aged Spatio-Temporal Analysis Neural Networks, Computer Humans Machine Learning Adolescent COVID-19 Germany Epidemiological Models
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A Broad Learning System to Predict the 28-Day Mortality of Patients Hospitalized with Community-Acquired Pneumonia: A Case-Control Study.

Computational and mathematical methods in medicine Mar 4, 2022
This study was to conduct a model based on the broad learning system (BLS) for predicting the 28-day mortality of patients hospitalized with community-acquired pneumonia (CAP). A total of 1,210 eligible CAP cases from Chifeng Municipal Hospital were ...
Epidemiological Models Middle Aged Case-Control Studies China Computational Biology Pneumonia Community-Acquired Infections Hospitalization Neural Networks, Computer Aged Machine Learning Male Humans Retrospective Studies Female Risk Factors
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Deep learning via LSTM models for COVID-19 infection forecasting in India.

PloS one Jan 28, 2022
The COVID-19 pandemic continues to have major impact to health and medical infrastructure, economy, and agriculture. Prominent computational and mathematical models have been unreliable due to the complexity of the spread of infections. Moreover, lac...
COVID-19 Forecasting Deep Learning Humans Neural Networks, Computer India Epidemiological Models
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Construction of Influenza Early Warning Model Based on Combinatorial Judgment Classifier: A Case Study of Seasonal Influenza in Hong Kong.

Current medical science Jan 4, 2022
OBJECTIVE: The annual influenza epidemic is a heavy burden on the health care system, and has increasingly become a major public health problem in some areas, such as Hong Kong (China). Therefore, based on a variety of machine learning methods, and c...
Machine Learning Models, Statistical Influenza, Human Hong Kong Humans Epidemiological Monitoring Epidemiological Models
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Optimizing hepatitis B virus screening in the United States using a simple demographics-based model.

Hepatology (Baltimore, Md.) Dec 7, 2021
BACKGROUND AND AIMS: Chronic hepatitis B (CHB) affects >290 million persons globally, and only 10% have been diagnosed, presenting a severe gap that must be addressed. We developed logistic regression (LR) and machine learning (ML; random forest) mod...
ROC Curve Logistic Models Nutrition Surveys United States Mass Screening Hepatitis B, Chronic Machine Learning Female Male Demography White People Black or African American Black People Humans Epidemiological Models Asian Patient Selection Hispanic or Latino Sex Factors Birth Cohort
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Comparison of Machine Learning Techniques for Mortality Prediction in a Prospective Cohort of Older Adults.

International journal of environmental research and public health Dec 4, 2021
As global demographics change, ageing is a global phenomenon which is increasingly of interest in our modern and rapidly changing society. Thus, the application of proper prognostic indices in clinical decisions regarding mortality prediction has ass...
Humans Machine Learning Cohort Studies Prospective Studies Epidemiological Models Aged
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Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea.

Scientific reports Nov 8, 2021
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease in China, Japan, and Korea. This study aimed to estimate the monthly SFTS occurrence and the monthly number of SFTS cases in the geographical area in Kore...
Regression Analysis Severe Fever with Thrombocytopenia Syndrome Climate Aged Humans Travel-Related Illness Republic of Korea Male Machine Learning Female Middle Aged Epidemiological Models Risk Factors Computer Simulation Mountaineering
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The predictive skill of convolutional neural networks models for disease forecasting.

PloS one Jul 9, 2021
In this paper we investigate the utility of one-dimensional convolutional neural network (CNN) models in epidemiological forecasting. Deep learning models, in particular variants of recurrent neural networks (RNNs) have been studied for ILI (Influenz...
Deep Learning Humans Influenza, Human Neural Networks, Computer Epidemiological Models Forecasting
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