AIMC Topic: Epidemiologic Studies

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Introduction to Machine Learning in Digital Healthcare Epidemiology.

Infection control and hospital epidemiology Nov 5, 2018
To exploit the full potential of big routine data in healthcare and to efficiently communicate and collaborate with information technology specialists and data analysts, healthcare epidemiologists should have some knowledge of large-scale analysis te...
Electronic Health Records Biomedical Research Big Data Epidemiologic Studies Humans Machine Learning
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You are smarter than you think: (super) machine learning in context.

European journal of epidemiology May 9, 2018
We discuss an article on super learning by Naimi and Balzer in the current issue of this journal in the context of machine learning. We give a brief example that emphasizes the need for human intelligence in the rapidly evolving field of machine lear...
Epidemiologic Studies Humans Machine Learning
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A systematic review of data mining and machine learning for air pollution epidemiology.

BMC public health Nov 28, 2017
BACKGROUND: Data measuring airborne pollutants, public health and environmental factors are increasingly being stored and merged. These big datasets offer great potential, but also challenge traditional epidemiological methods. This has motivated the...
Data Mining Machine Learning Epidemiologic Studies Air Pollution Humans
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Computer-based coding of free-text job descriptions to efficiently identify occupations in epidemiological studies.

Occupational and environmental medicine Apr 21, 2016
BACKGROUND: Mapping job titles to standardised occupation classification (SOC) codes is an important step in identifying occupational risk factors in epidemiological studies. Because manual coding is time-consuming and has moderate reliability, we de...
Job Description Epidemiologic Methods Occupations United States Occupational Safety and Health Administration Industry Algorithms Carcinoma, Renal Cell Reproducibility of Results Epidemiologic Studies United States Case-Control Studies Humans Natural Language Processing Software Logistic Models
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OntoStudyEdit: a new approach for ontology-based representation and management of metadata in clinical and epidemiological research.

Journal of biomedical semantics Dec 18, 2015
BACKGROUND: The specification of metadata in clinical and epidemiological study projects absorbs significant expense. The validity and quality of the collected data depend heavily on the precise and semantical correct representation of their metadata...
Biological Ontologies Software Data Curation Biostatistics Humans Epidemiologic Studies
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Harnessing causal forests for epidemiologic research: key considerations.

American journal of epidemiology Jun 3, 2024
Assessing heterogeneous treatment effects (HTEs) is an essential task in epidemiology. The recent integration of machine learning into causal inference has provided a new, flexible tool for evaluating complex HTEs: causal forest. In a recent paper, J...
Humans Machine Learning Epidemiologic Studies Causality Epidemiologic Methods Models, Statistical
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[Machine learning and its epidemiological applications].

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi Sep 10, 2021
As an important branch of artificial intelligence, machine learning is widely used in various fields. Machine learning has similarity to classical statistical methods, but can solve many problems which are difficult for traditional statistics, so it ...
Humans Artificial Intelligence Epidemiologic Studies Machine Learning Algorithms
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Instability of Variable-selection Algorithms Used to Identify True Predictors of an Outcome in Intermediate-dimension Epidemiologic Studies.

Epidemiology (Cambridge, Mass.) May 1, 2021
BACKGROUND: Machine-learning algorithms are increasingly used in epidemiology to identify true predictors of a health outcome when many potential predictors are measured. However, these algorithms can provide different outputs when repeatedly applied...
Machine Learning Algorithms Humans Reproducibility of Results Epidemiologic Studies Computer Simulation
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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...
Epidemiologic Studies Terminology as Topic Machine Learning Epidemiology
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