AIMC Topic: Communicable Diseases

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Spatial Prediction of COVID-19 in China Based on Machine Learning Algorithms and Geographically Weighted Regression.

Computational and mathematical methods in medicine Oct 13, 2021
COVID-19 has swept through the world since December 2019 and caused a large number of patients and deaths. Spatial prediction on the spread of the epidemic is greatly important for disease control and management. In this study, we predicted the cumul...
SARS-CoV-2 China Cities Computational Biology Environmental Monitoring Models, Statistical Algorithms Communicable Diseases Reproducibility of Results Humans Machine Learning COVID-19 Social Class Geography Spatial Regression Least-Squares Analysis Climate Epidemics
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Comparison of machine learning algorithms applied to symptoms to determine infectious causes of death in children: national survey of 18,000 verbal autopsies in the Million Death Study in India.

BMC public health Oct 4, 2021
BACKGROUND: Machine learning (ML) algorithms have been successfully employed for prediction of outcomes in clinical research. In this study, we have explored the application of ML-based algorithms to predict cause of death (CoD) from verbal autopsy r...
Humans Machine Learning Algorithms Child India Cause of Death Autopsy Communicable Diseases Infant Child, Preschool
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Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases.

Advanced drug delivery reviews Aug 28, 2021
In the era of antimicrobial resistance, the prevalence of multidrug-resistant microorganisms that resist conventional antibiotic treatment has steadily increased. Thus, it is now unquestionable that infectious diseases are significant global burdens ...
Communicable Diseases Anti-Infective Agents Drug Delivery Systems Humans Artificial Intelligence
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The Infectious Disease Ontology in the age of COVID-19.

Journal of biomedical semantics Jul 18, 2021
BACKGROUND: Effective response to public health emergencies, such as we are now experiencing with COVID-19, requires data sharing across multiple disciplines and data systems. Ontologies offer a powerful data sharing tool, and this holds especially f...
Humans Public Health Computational Biology Data Mining Information Dissemination COVID-19 Communicable Diseases SARS-CoV-2 Communicable Disease Control Semantics Biological Ontologies Epidemics
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EagleEye: A Worldwide Disease-Related Topic Extraction System Using a Deep Learning Based Ranking Algorithm and Internet-Sourced Data.

Sensors (Basel, Switzerland) Jul 7, 2021
Due to the prevalence of globalization and the surge in people's traffic, diseases are spreading more rapidly than ever and the risks of sporadic contamination are becoming higher than before. Disease warnings continue to rely on censored data, but t...
Social Media Internet Communicable Diseases Disease Outbreaks Deep Learning Humans Algorithms
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Visual comprehension and orientation into the COVID-19 CIDO ontology.

Journal of biomedical informatics Jul 2, 2021
The current intensive research on potential remedies and vaccinations for COVID-19 would greatly benefit from an ontology of standardized COVID terms. The Coronavirus Infectious Disease Ontology (CIDO) is the largest among several COVID ontologies, a...
Communicable Diseases SARS-CoV-2 Biological Ontologies Comprehension Humans COVID-19
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Inaccuracies in Google's Health-Based Knowledge Panels Perpetuate Widespread Misconceptions Involving Infectious Disease Transmission.

The American journal of tropical medicine and hygiene Apr 26, 2021
Google health-based Knowledge Panels were designed to provide users with high-quality basic medical information on a specific condition. However, any errors contained within Knowledge Panels could result in the widespread distribution of inaccurate h...
Knowledge Bases Search Engine Hemorrhagic Fever, Ebola Congo Communicable Diseases Communication Disease Outbreaks Humans
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How does innovative technology impact nursing in infectious diseases and infection control? A scoping review.

Nursing open Mar 25, 2021
AIM: Considering the increasing number of emerging infectious diseases, innovative approaches are strongly in demand. Additionally, research in this field has expanded exponentially. Thus, faced with this diverse information, we aim to clarify key co...
Technology Infection Control Artificial Intelligence Communicable Diseases Humans
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Propagation source identification of infectious diseases with graph convolutional networks.

Journal of biomedical informatics Feb 25, 2021
Source identification in networks has drawn considerable interest to understand and control the infectious disease propagation processes. It is usually difficult to achieve both high accuracy and short error distance when we try to solve the problem....
Humans Neural Networks, Computer Algorithms Communicable Diseases
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Domain-Scan: Combinatorial Sero-Diagnosis of Infectious Diseases Using Machine Learning.

Frontiers in immunology Feb 10, 2021
The presence of pathogen-specific antibodies in an individual's blood-sample is used as an indication of previous exposure and infection to that specific pathogen (e.g., virus or bacterium). Measurement of the diagnostic antibodies is routinely achie...
Hepatitis C Antibodies HIV Core Protein p24 Genetic Vectors DNA, Recombinant Epitopes Humans DNA Barcoding, Taxonomic HIV Infections HIV Envelope Protein gp160 Machine Learning Base Sequence Amino Acid Sequence Peptide Library Hepatitis C Hepatitis C Antigens Communicable Diseases Polymerase Chain Reaction Oligonucleotides Peptide Fragments Serologic Tests HIV Antibodies High-Throughput Nucleotide Sequencing AIDS Serodiagnosis Antigen-Antibody Reactions
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