AIMC Topic: Measles

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Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection.

Scientific reports Jul 1, 2025
Accurate identification of Mpox is essential for timely diagnosis and treatment. However, traditional image-based diagnostic methods often struggle with challenges such as body hair obscuring skin lesions and complicating accurate assessment. To addr...
Humans Image Processing, Computer-Assisted Skin Dermoscopy Hair Removal Deep Learning Measles Artifacts Hair
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CEL: A Continual Learning Model for Disease Outbreak Prediction by Leveraging Domain Adaptation via Elastic Weight Consolidation.

Interdisciplinary sciences, computational life sciences Feb 28, 2025
Continual learning is the ability of a model to learn over time without forgetting previous knowledge. Therefore, adapting new data in dynamic fields like disease outbreak prediction is paramount. Deep neural networks are prone to error due to catast...
Disease Outbreaks Influenza, Human Measles Neural Networks, Computer Machine Learning Humans
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Intelligent skin disease prediction system using transfer learning and explainable artificial intelligence.

Scientific reports Jan 11, 2025
Skin diseases impact millions of people around the world and pose a severe risk to public health. These diseases have a wide range of effects on the skin's structure, functionality, and appearance. Identifying and predicting skin diseases are laborio...
Humans Artificial Intelligence Chickenpox Measles Deep Learning Skin Diseases
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Deep neural networks for endemic measles dynamics: Comparative analysis and integration with mechanistic models.

PLoS computational biology Nov 21, 2024
Measles is an important infectious disease system both for its burden on public health and as an opportunity for studying nonlinear spatio-temporal disease dynamics. Traditional mechanistic models often struggle to fully capture the complex nonlinear...
England Computational Biology Wales Humans Endemic Diseases Forecasting Disease Outbreaks Neural Networks, Computer Measles Epidemiological Models
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Machine learning algorithms for prediction of measles one vaccination dropout among 12-23 months children in Ethiopia.

BMJ open Nov 14, 2024
INTRODUCTION: Despite the availability of a safe and effective measles vaccine in Ethiopia, the country has experienced recurrent and significant measles outbreaks, with a nearly fivefold increase in confirmed cases from 2021 to 2023. The WHO has ide...
Patient Dropouts Measles Vaccine Vaccination Logistic Models Ethiopia Measles Infant Adolescent Male Algorithms Female Young Adult Adult Humans Machine Learning
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Prediction of measles cases in US counties: A machine learning approach.

Vaccine Sep 7, 2024
BACKGROUND: Although measles was declared eliminated from the United States in 2000, the frequency of measles outbreaks has increased in recent years. The ability to predict the locations of future cases could aid efforts to prevent and contain measl...
Humans Measles Machine Learning Disease Outbreaks United States
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Public Perception Analysis of Tweets During the 2015 Measles Outbreak: Comparative Study Using Convolutional Neural Network Models.

Journal of medical Internet research Jul 9, 2018
BACKGROUND: Timely understanding of public perceptions allows public health agencies to provide up-to-date responses to health crises such as infectious diseases outbreaks. Social media such as Twitter provide an unprecedented way for the prompt asse...
Public Opinion Disease Outbreaks Measles Social Media History, 21st Century Neural Networks, Computer Humans Perception Reproducibility of Results
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