AIMC Topic: Hepatitis E
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Deep learning models for hepatitis E incidence prediction leveraging meteorological factors.
PloS one
Mar 13, 2023
BACKGROUND: Infectious diseases are a major threat to public health, causing serious medical consumption and casualties. Accurate prediction of infectious diseases incidence is of great significance for public health organizations to prevent the spre...
The Prediction of Hepatitis E through Ensemble Learning.
International journal of environmental research and public health
Dec 28, 2020
According to the World Health Organization, about 20 million people are infected with Hepatitis E every year. In 2015, there were 44,000 deaths due to HEV infection worldwide. Food, water and climate are key factors that affect the outbreak of Hepati...
Prediction of hepatitis E using machine learning models.
PloS one
Sep 17, 2020
BACKGROUND: Accurate and reliable predictions of infectious disease can be valuable to public health organizations that plan interventions to decrease or prevent disease transmission. A great variety of models have been developed for this task. Howev...
Development and Validation of an Explainable Machine Learning Model for Warning of Hepatitis E Virus-Related Acute Liver Failure.
Liver international : official journal of the International Association for the Study of the Liver
Jun 1, 2025
BACKGROUND AND AIMS: Early identification of patients with acute hepatitis E (AHE) who are at high risk of progressing to hepatitis E virus-related acute liver failure (HEV-ALF) is crucial for enabling timely monitoring and intervention. This multice...
Course of hepatitis E infection in a patient with rheumatoid arthritis and autoimmune hepatitis: A case report.
Medicine
Dec 1, 2017
RATIONALE: A 62-year-old male patient was admitted to our clinic in February 2016 with persistently elevated liver enzymes.
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