AIMC Topic: Epidemics

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Epidemics in interconnected small-world networks.

PloS one Mar 23, 2015
Networks can be used to describe the interconnections among individuals, which play an important role in the spread of disease. Although the small-world effect has been found to have a significant impact on epidemics in single networks, the small-wor...
Algorithms Epidemics Models, Theoretical Humans Neural Networks, Computer
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Practical Approach for Evaluating Machine Learning Anomaly Detection Algorithms for Epidemic Early Warning Systems.

Studies in health technology and informatics May 15, 2025
Anomaly detection methods in time series data can play a pivotal role in epidemic surveillance Early Warning Systems (EWS). Statistical and rules-based methods have been traditionally employed in such systems, but are challenged by data dynamics and ...
Humans Machine Learning Hepatitis C Epidemics Detection Algorithms COVID-19 Algorithms
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Mitigating epidemic spread in complex networks based on deep reinforcement learning.

Chaos (Woodbury, N.Y.) Dec 1, 2024
Complex networks are susceptible to contagious cascades, underscoring the urgency for effective epidemic mitigation strategies. While physical quarantine is a proven mitigation measure for mitigation, it can lead to substantial economic repercussions...
Humans Epidemics Computer Simulation Quarantine Deep Learning Algorithms Markov Chains
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AI-based epidemic and pandemic early warning systems: A systematic scoping review.

Health informatics journal Jan 1, 2024
Timely detection of disease outbreaks is critical in public health. Artificial Intelligence (AI) can identify patterns in data that signal the onset of epidemics and pandemics. This scoping review examines the effectiveness of AI in epidemic and pan...
Humans Epidemics Pandemics Artificial Intelligence Disease Outbreaks Machine Learning
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Reinforcement learning relieves the vaccination dilemma.

Chaos (Woodbury, N.Y.) Jul 1, 2023
The main goal of this paper is to study how a decision-making rule for vaccination can affect epidemic spreading by exploiting the Bush-Mosteller (BM) model, one of the methodologies in reinforcement learning in artificial intelligence (AI), which ca...
Humans Artificial Intelligence Costs and Cost Analysis Epidemics Learning Vaccination
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Time series prediction for the epidemic trends of monkeypox using the ARIMA, exponential smoothing, GM (1, 1) and LSTM deep learning methods.

The Journal of general virology Apr 1, 2023
Monkeypox is a critical public health emergency with international implications. Few confirmed monkeypox cases had previously been reported outside endemic countries. However, since May 2022, the number of monkeypox infections has increased exponenti...
France Epidemics Humans Deep Learning Models, Statistical Mpox, Monkeypox Time Factors
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Mouse Genome Database (MGD): Knowledgebase for mouse-human comparative biology.

Nucleic acids research Jan 8, 2021
The Mouse Genome Database (MGD; http://www.informatics.jax.org) is the community model organism knowledgebase for the laboratory mouse, a widely used animal model for comparative studies of the genetic and genomic basis for human health and disease. ...
Data Curation Genome Epidemics Gene Ontology Databases, Genetic Disease Models, Animal Knowledge Bases Information Storage and Retrieval Humans Internet Animals COVID-19 Mice SARS-CoV-2 Genomics
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Estimation of COVID-19 epidemic curves using genetic programming algorithm.

Health informatics journal Jan 1, 2021
This paper investigates the possibility of the implementation of Genetic Programming (GP) algorithm on a publicly available COVID-19 data set, in order to obtain mathematical models which could be used for estimation of confirmed, deceased, and recov...
SARS-CoV-2 Models, Theoretical Epidemiologic Methods Epidemics COVID-19 Algorithms Humans Machine Learning
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Artificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic.

Current HIV/AIDS reports Jun 1, 2020
PURPOSE OF REVIEW: We review applications of artificial intelligence (AI), including machine learning (ML), in the field of HIV prevention.
Machine Learning Anti-HIV Agents Africa, Eastern Humans Pre-Exposure Prophylaxis Acquired Immunodeficiency Syndrome Risk Reduction Behavior Epidemics
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Learning epidemic threshold in complex networks by Convolutional Neural Network.

Chaos (Woodbury, N.Y.) Nov 1, 2019
Deep learning has taken part in the competition since not long ago to learn and identify phase transitions in physical systems such as many-body quantum systems, whose underlying lattice structures are generally regular as they are in Euclidean space...
Epidemics Humans Machine Learning Neural Networks, Computer Models, Biological
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