AIMC Topic: Epidemics

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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 Quarantine Markov Chains Epidemics Computer Simulation Deep Learning Algorithms
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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...
Disease Outbreaks Humans Artificial Intelligence Epidemics Machine Learning Pandemics
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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...
Vaccination Humans Artificial Intelligence Costs and Cost Analysis Learning Epidemics
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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...
Time Factors Models, Statistical Mpox, Monkeypox Humans Deep Learning France Epidemics
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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. ...
Gene Ontology Data Curation Genome Information Storage and Retrieval Epidemics Genomics Databases, Genetic Internet Knowledge Bases Disease Models, Animal SARS-CoV-2 Humans Animals COVID-19 Mice
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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...
Algorithms SARS-CoV-2 Humans Epidemics Machine Learning Epidemiologic Methods Models, Theoretical COVID-19
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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 Epidemics Africa, Eastern Pre-Exposure Prophylaxis Acquired Immunodeficiency Syndrome Humans Risk Reduction Behavior
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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...
Models, Biological Epidemics Neural Networks, Computer Humans Machine Learning
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Real-time Epidemic Forecasting: Challenges and Opportunities.

Health security Jan 1, 2019
Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epidemic forecasting provides an opportunity to predict geographic disease spread as well as case counts to better inform public health interventions whe...
Forecasting Data Collection Public Health Epidemics Models, Statistical Humans Disease Outbreaks Population Surveillance Machine Learning
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[Analysis on gene sequence of HIV isolated from men who have sex with men in Beijing].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi Sep 1, 2015
OBJECTIVE: To analyze genetic characteristics of HIV isolated from men who have sex with men (MSM) in Beijing and predict the epidemic trend in this population.
HIV Infections Prevalence Epidemics Humans HIV-1 Homosexuality, Male Phylogeny Male Molecular Epidemiology China
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