AIMC Topic: Communicable Diseases

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OPTIMIZATION OF PRE-HOSPITAL FIRST AID MANAGEMENT STRATEGIES FOR PATIENTS WITH INFECTIOUS DISEASES IN HUIZHOU CITY USING DEEP LEARNING ALGORITHM.

Acta clinica Croatica Apr 1, 2023
The aim of the study was to optimize the pre-hospital first aid management strategy for patients with infectious diseases in Huizhou city, which is expected to provide a basis for the epidemic prevention and control, to save lives, and increase the p...
Humans Hospitals Deep Learning First Aid Algorithms Communicable Diseases
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deepHPI: a comprehensive deep learning platform for accurate prediction and visualization of host-pathogen protein-protein interactions.

Briefings in bioinformatics May 13, 2022
Host-pathogen protein interactions (HPPIs) play vital roles in many biological processes and are directly involved in infectious diseases. With the outbreak of more frequent pandemics in the last couple of decades, such as the recent outburst of Covi...
COVID-19 Communicable Diseases Machine Learning Amino Acids Host-Pathogen Interactions Animals Deep Learning
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Advanced Deep Learning Algorithms for Infectious Disease Modeling Using Clinical Data: A Case Study on COVID-19.

Current medical imaging Jan 1, 2022
BACKGROUND: Dealing with the COVID-19 pandemic has been one of the most important objectives of many countries.Intently observing the growth dynamics of the cases is one way to accomplish the solution for the pandemic.
Humans SARS-CoV-2 Deep Learning Pandemics Algorithms COVID-19 Communicable Diseases
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Evolving Applications of Artificial Intelligence and Machine Learning in Infectious Diseases Testing.

Clinical chemistry Dec 30, 2021
BACKGROUND: Artificial intelligence (AI) and machine learning (ML) are poised to transform infectious disease testing. Uniquely, infectious disease testing is technologically diverse spaces in laboratory medicine, where multiple platforms and approac...
Machine Learning Communicable Diseases Humans Artificial Intelligence
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Design of Novel End-effectors for Robot-assisted Swab Sampling to Combat Respiratory Infectious Diseases.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Nov 1, 2021
The COVID-19 outbreak has caused the mortality worldwide and the use of swab sampling is a common way of screening and diagnosis. To combat respiratory infectious diseases and assist sampling, robots have been utilized and shown promising potentials....
SARS-CoV-2 Robotics COVID-19 Communicable Diseases Humans
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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 ...
Disinfection Remote Sensing Technology Communicable Disease Control Robotic Surgical Procedures User-Computer Interface Robotics Communicable Diseases SARS-CoV-2 Humans Pandemics COVID-19 Machine Learning
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How could robotics help establish a new norm after COVID-19?

Science robotics Jan 20, 2021
In a time of upheaval, robotics has an opportunity to offer long-term solutions and radical change.
Robotics Communicable Diseases Humans SARS-CoV-2 COVID-19 Public Health
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A Bayesian classification model for discriminating common infectious diseases in Zhejiang province, China.

Medicine Feb 1, 2020
To develop a classification model for accurately discriminating common infectious diseases in Zhejiang province, China.Symptoms and signs, abnormal lab test results, epidemiological features, as well as the incidence rates were treated as predictors,...
Reproducibility of Results Diagnosis, Computer-Assisted Incidence Artificial Intelligence China Bayes Theorem Humans Communicable Diseases
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Development of a global infectious disease activity database using natural language processing, machine learning, and human expertise.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2019
OBJECTIVE: We assessed whether machine learning can be utilized to allow efficient extraction of infectious disease activity information from online media reports.
Communicable Diseases Information Storage and Retrieval User-Computer Interface Databases, Factual Population Surveillance Humans Global Health Natural Language Processing Machine Learning Disease Outbreaks
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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...
Animals Forecasting Models, Biological Disease Outbreaks Communicable Diseases Communicable Disease Control Humans Decision Making Machine Learning
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