AIMC Topic: Communicable Disease Control
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Clinical evaluation of the newly developed infectious disease/fever screening radar system using the neural network and fuzzy grouping method for travellers with suspected infectious diseases at Narita International Airport Clinic.
The Journal of infection
Sep 28, 2015
Application of a hybrid method combining grey model and back propagation artificial neural networks to forecast hepatitis B in china.
Computational and mathematical methods in medicine
Feb 26, 2015
Accurate incidence forecasting of infectious disease provides potentially valuable insights in its own right. It is critical for early prevention and may contribute to health services management and syndrome surveillance. This study investigates the ...
Progress in robotics for combating infectious diseases.
Science robotics
Mar 31, 2021
The world was unprepared for the COVID-19 pandemic, and recovery is likely to be a long process. Robots have long been heralded to take on dangerous, dull, and dirty jobs, often in environments that are unsuitable for humans. Could robots be used to ...
Combat COVID-19 with artificial intelligence and big data.
Journal of travel medicine
Aug 20, 2020
Combating COVID-19-The role of robotics in managing public health and infectious diseases.
Science robotics
Mar 25, 2020
COVID-19 may drive sustained research in robotics to address risks of infectious diseases.
Context matters: using reinforcement learning to develop human-readable, state-dependent outbreak response policies.
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Jul 8, 2019
The number of all possible epidemics of a given infectious disease that could occur on a given landscape is large for systems of real-world complexity. Furthermore, there is no guarantee that the control actions that are optimal, on average, over all...
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