AIMC Topic: Communicable Diseases
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An unsupervised machine learning model for discovering latent infectious diseases using social media data.
Journal of biomedical informatics
Dec 26, 2016
INTRODUCTION: The authors of this work propose an unsupervised machine learning model that has the ability to identify real-world latent infectious diseases by mining social media data. In this study, a latent infectious disease is defined as a commu...
The Apollo Structured Vocabulary: an OWL2 ontology of phenomena in infectious disease epidemiology and population biology for use in epidemic simulation.
Journal of biomedical semantics
Aug 18, 2016
BACKGROUND: We developed the Apollo Structured Vocabulary (Apollo-SV)-an OWL2 ontology of phenomena in infectious disease epidemiology and population biology-as part of a project whose goal is to increase the use of epidemic simulators in public heal...
Smartphone-Powered Automated Image Recognition Tool for Multianalyte Rapid Tests: Application to Infectious Diseases.
Analytical chemistry
Jul 1, 2025
Point-of-Care Testing (POCT) is rapidly increasing, providing quick, user-friendly, and portable diagnostic tools. Lateral flow assays (LFAs) have been central to POCT, administering fast and cost-effective diagnosis. However, traditional LFAs are li...
[Advances in the application of machine learning-related combined models in infectious disease prediction].
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Jun 10, 2025
When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to ...
Use of an Untrained Large Language Model for Antibiotic Prescription in Pediatric Infectious Diseases at Primary Care Settings: A Study From the Italian Society for Pediatric Infectious Diseases.
The Pediatric infectious disease journal
Jun 1, 2025
The development of artificial intelligence systems is revolutionizing many fields of medicine, but specific studies are still missing in pediatrics. In our study, we showed that an untrained free-to-use large language model provided reliable response...
Microbial infection disease diagnosis and treatment by artificial intelligence.
Wiadomosci lekarskie (Warsaw, Poland : 1960)
Jan 1, 2025
OBJECTIVE: Aim: The main objective of this study was to examine current perspectives on initiatives to identify viable approaches for more accurate diagnosis of infectious diseases.
From GeoSentinel data to epidemiological insights: a multidisciplinary effort towards artificial intelligence-supported detection of infectious disease outbreaks.
Journal of travel medicine
Jun 3, 2024
[Application of machine learning in clinical predictive models for infectious diseases: a review].
Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
Jun 8, 2023
Infectious diseases are one of the major threats to global public health. Inconvenience of diagnosis and treatment frequently causes misdiagnosis, missing diagnosis or overtreatment, resulting in serious clinical outcomes. As an important branch of a...
Artificial Intelligence, Emerging Threats, and Diagnostic Advances-Highlights From ECCMID, Europe's Largest Infectious Disease Conference.
JAMA
May 23, 2023
Advances in Artificial Intelligence for Infectious-Disease Surveillance.
The New England journal of medicine
Apr 27, 2023
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