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Hand, Foot and Mouth Disease

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Machine Learning Algorithms for Risk Prediction of Severe Hand-Foot-Mouth Disease in Children.

Scientific reports 28710409
The identification of indicators for severe HFMD is critical for early prevention and control of the disease. With this goal in mind, 185 severe and 345 mild HFMD cases were assessed. Patient demographics, clinical features, MRI findings, and laborat...
Algorithms Child, Preschool Female Hand, Foot and Mouth Disease Humans Infant Machine Learning Male Risk Assessment
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Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data.

Scientific reports 29180702
Children of severe hand, foot, and mouth disease (HFMD) often present with same clinical features as those of mild HFMD during the early stage, yet later deteriorate rapidly with a fulminant disease course. Our goal was to: (1) develop a machine lear...
Algorithms Biomarkers Child, Preschool China Comorbidity Electronic Health Records Female Hand, Foot and Mouth Disease Humans Infant Infant, Newborn Machine Learning Male Public Health Surveillance Retrospective Studies ROC Curve Severity of Illness Index
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The utility of LASSO-based models for real time forecasts of endemic infectious diseases: A cross country comparison.

Journal of biomedical informatics 29496631
INTRODUCTION: Accurate and timely prediction for endemic infectious diseases is vital for public health agencies to plan and carry out any control methods at an early stage of disease outbreaks. Climatic variables has been identified as important pre...
Algorithms Chickenpox Climate Communicable Disease Control Communicable Diseases Dengue Disease Outbreaks Forecasting Hand, Foot and Mouth Disease Humans Incidence Infectious Disease Medicine Japan Machine Learning Malaria Models, Statistical Public Health Reproducibility of Results Singapore Taiwan Thailand Wavelet Analysis
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Development and evaluation of a deep learning approach for modeling seasonality and trends in hand-foot-mouth disease incidence in mainland China.

Scientific reports 31142826
The high incidence, seasonal pattern and frequent outbreaks of hand, foot, and mouth disease (HFMD) represent a threat for millions of children in mainland China. And advanced response is being used to address this. Here, we aimed to model time serie...
Child, Preschool China Computer Simulation Datasets as Topic Deep Learning Epidemics Epidemiological Monitoring Forecasting Hand, Foot and Mouth Disease Humans Incidence Models, Statistical Seasons
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Multi-Modal Diagnosis of Infectious Diseases in the Developing World.

IEEE journal of biomedical and health informatics 31944967
In low and middle income countries, infectious diseases continue to have a significant impact, particularly amongst the poorest in society. Tetanus and hand foot and mouth disease (HFMD) are two such diseases and, in both, death is associated with au...
Adult Algorithms Child, Preschool Communicable Diseases Deep Learning Developing Countries Diagnosis, Computer-Assisted Electrocardiography Hand, Foot and Mouth Disease Humans Infant Models, Statistical Monitoring, Physiologic Photoplethysmography Tetanus Vital Signs Wearable Electronic Devices
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Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Beijing from 2011 to 2018.

Scientific reports 32699245
Hand-foot-and-month disease (HFMD), especially the enterovirus A71 (EV-A71) subtype, is a major health problem in Beijing, China. Previous studies mainly used regressive models to forecast the prevalence of HFMD, ignoring its intrinsic age groups. Th...
Animals Beijing Child Child, Preschool Databases, Factual Deep Learning Disease Outbreaks Enterovirus A, Human Female Hand, Foot and Mouth Disease Humans Infant Infant, Newborn Models, Theoretical Seasons
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Forecasting hand-foot-and-mouth disease cases using wavelet-based SARIMA-NNAR hybrid model.

PloS one 33544752
BACKGROUND: Hand-foot-and-mouth disease_(HFMD) is one of the most typical diseases in children that is associated with high morbidity. Reliable forecasting is crucial for prevention and control. Recently, hybrid models have become popular, and wavele...
Child China Databases, Factual Forecasting Hand, Foot and Mouth Disease Humans Incidence Models, Statistical Morbidity Neural Networks, Computer Nonlinear Dynamics Seasons Wavelet Analysis
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A Novel Early Warning Model for Hand, Foot and Mouth Disease Prediction Based on a Graph Convolutional Network.

Biomedical and environmental sciences : BES 35882409
OBJECTIVES: Hand, foot and mouth disease (HFMD) is a widespread infectious disease that causes a significant disease burden on society. To achieve early intervention and to prevent outbreaks of disease, we propose a novel warning model that can accur...
China Cities Data Visualization Disease Outbreaks Forecasting Hand, Foot and Mouth Disease Humans Incidence Neural Networks, Computer Reproducibility of Results Spatio-Temporal Analysis Time Factors
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