AIMC Topic: Disease Outbreaks

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Predicting malaria outbreak in The Gambia using machine learning techniques.

PloS one May 16, 2024
Malaria is the most common cause of death among the parasitic diseases. Malaria continues to pose a growing threat to the public health and economic growth of nations in the tropical and subtropical parts of the world. This study aims to address this...
Disease Outbreaks Support Vector Machine Malaria Machine Learning Algorithms Gambia Humans Neural Networks, Computer
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DeepDynaForecast: Phylogenetic-informed graph deep learning for epidemic transmission dynamic prediction.

PLoS computational biology Apr 10, 2024
In the midst of an outbreak or sustained epidemic, reliable prediction of transmission risks and patterns of spread is critical to inform public health programs. Projections of transmission growth or decline among specific risk groups can aid in opti...
Computer Simulation Disease Outbreaks Phylogeny Software Algorithms Computational Biology Epidemics Florida Deep Learning HIV Infections Humans
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Addressing bias in artificial intelligence for public health surveillance.

Journal of medical ethics Feb 20, 2024
Components of artificial intelligence (AI) for analysing social big data, such as natural language processing (NLP) algorithms, have improved the timeliness and robustness of health data. NLP techniques have been implemented to analyse large volumes ...
Disease Outbreaks Humans Public Health Surveillance Artificial Intelligence Data Collection Bias
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Combining Digital and Molecular Approaches Using Health and Alternate Data Sources in a Next-Generation Surveillance System for Anticipating Outbreaks of Pandemic Potential.

JMIR public health and surveillance Jan 9, 2024
Globally, millions of lives are impacted every year by infectious diseases outbreaks. Comprehensive and innovative surveillance strategies aiming at early alert and timely containment of emerging and reemerging pathogens are a pressing priority. Shor...
Artificial Intelligence Disease Outbreaks Data Science Humans Influenza A Virus, H1N1 Subtype Chromosome Mapping
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Mpox (formerly monkeypox): pathogenesis, prevention, and treatment.

Signal transduction and targeted therapy Dec 27, 2023
In 2022, a global outbreak of Mpox (formerly monkeypox) occurred in various countries across Europe and America and rapidly spread to more than 100 countries and regions. The World Health Organization declared the outbreak to be a public health emerg...
Antiviral Agents Antibodies Mpox, Monkeypox Artificial Intelligence Disease Outbreaks Humans
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A machine learning-based universal outbreak risk prediction tool.

Computers in biology and medicine Dec 24, 2023
In order to prevent and control the increasing number of serious epidemics, the ability to predict the risk caused by emerging outbreaks is essential. However, most current risk prediction tools, except EPIRISK, are limited by being designed for targ...
Support Vector Machine Neural Networks, Computer Pandemics Disease Outbreaks Machine Learning
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A novel bidirectional LSTM deep learning approach for COVID-19 forecasting.

Scientific reports Oct 20, 2023
COVID-19 has resulted in significant morbidity and mortality globally. We develop a model that uses data from thirty days before a fixed time point to forecast the daily number of new COVID-19 cases fourteen days later in the early stages of the pand...
Forecasting Deep Learning Disease Outbreaks Humans Levonorgestrel Neural Networks, Computer COVID-19
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From an On-site Program to a Mobile App for Prehabilitation and Rehabilitation for Robotic Radical Prostatectomy: Lessons Learned from 5 Years of Experience, the COVID-19 Outbreak, and Comparison with Nationwide Data.

European urology oncology Oct 19, 2023
Prehabilitation programs play a key role in optimizing patient experiences and outcomes after surgery. However, there are few data on robot-assisted radical prostatectomy, and prehabilitation programs may be challenging to launch and maintain over ti...
Robotic Surgical Procedures Prostate Preoperative Exercise Prostatectomy Robotics Prostatic Neoplasms Disease Outbreaks Humans Mobile Applications COVID-19 Male
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Influenza Epidemic Trend Surveillance and Prediction Based on Search Engine Data: Deep Learning Model Study.

Journal of medical Internet research Oct 17, 2023
BACKGROUND: Influenza outbreaks pose a significant threat to global public health. Traditional surveillance systems and simple algorithms often struggle to predict influenza outbreaks in an accurate and timely manner. Big data and modern technology h...
Humans Search Engine Deep Learning COVID-19 Disease Outbreaks China Influenza, Human
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Rapid Discrimination of ST175 Isolates Involved in a Nosocomial Outbreak Using MALDI-TOF Mass Spectrometry and FTIR Spectroscopy Coupled with Machine Learning.

Transboundary and emerging diseases Sep 7, 2023
The goal of this study was to evaluate matrix-assisted laser desorption ionization-iime of flight mass spectrometry (MALDI-TOF MS) and Fourier-transform infrared spectroscopy (FTIR-S) as diagnostic alternatives to DNA-based methods for the detection ...
Humans Disease Outbreaks Pseudomonas Infections Machine Learning Pseudomonas aeruginosa Spectroscopy, Fourier Transform Infrared Cross Infection Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
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