AIMC Topic: Epidemiology
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Machine learning in causal inference for epidemiology.
European journal of epidemiology
Nov 13, 2024
In causal inference, parametric models are usually employed to address causal questions estimating the effect of interest. However, parametric models rely on the correct model specification assumption that, if not met, leads to biased effect estimate...
Artificial Intelligence for Surveillance in Public Health.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVES: To introduce and summarize current research in the field of Public Health and Epidemiology Informatics.
Public Health and Epidemiology Informatics: Can Artificial Intelligence Help Future Global Challenges? An Overview of Antimicrobial Resistance and Impact of Climate Change in Disease Epidemiology.
Yearbook of medical informatics
Aug 16, 2019
OBJECTIVES: To provide an oveiview of the current application of artificial intelligence (AI) in the field of public health and epidemiology, with a special focus on antimicrobial resistance and the impact of climate change in disease epidemiology. B...
Artificial Intelligence in Public Health and Epidemiology.
Yearbook of medical informatics
Aug 29, 2018
OBJECTIVES: To introduce and summarize current research in the field of Public Health and Epidemiology Informatics.
Comorbidity Scoring with Causal Disease Networks.
IEEE/ACM transactions on computational biology and bioinformatics
Mar 6, 2018
In recent years, there has been numerous studies constructing a disease network with diverse sources of data. Many researchers attempted to extend the usage of the disease network by employing machine learning algorithms on various problems such as p...
Studies in using a universal exchange and inference language for evidence based medicine. Semi-automated learning and reasoning for PICO methodology, systematic review, and environmental epidemiology.
Computers in biology and medicine
Oct 17, 2016
The Q-UEL language of XML-like tags and the associated software applications are providing a valuable toolkit for Evidence Based Medicine (EBM). In this paper the already existing applications, data bases, and tags are brought together with new ones....
[Progress in application of machine learning in epidemiology].
Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi
Sep 10, 2024
Population based health data collection and analysis are important in epidemiological research. In recent years, with the rapid development of big data, Internet and cloud computing, artificial intelligence has gradually attracted attention of epidem...
Snippets of the History of the American Journal of Epidemiology.
American journal of epidemiology
Nov 3, 2023
In this article, I present a brief summary of landmark events in the American Journal of Epidemiology, including its founding, the first few decades, the change in name, the increasing focus on nontransmissible disease, and selected key manuscripts. ...
Co-evolution of epidemiology and artificial intelligence: challenges and opportunities.
International journal of epidemiology
Aug 2, 2023
What is Machine Learning? A Primer for the Epidemiologist.
American journal of epidemiology
Dec 31, 2019
Machine learning is a branch of computer science that has the potential to transform epidemiologic sciences. Amid a growing focus on "Big Data," it offers epidemiologists new tools to tackle problems for which classical methods are not well-suited. I...
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