AIMC Topic: Epidemiologic Methods

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Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study.

BMC medicine Jan 26, 2015
BACKGROUND: Easy-to-collect epidemiological information is critical for the more accurate estimation of the prevalence and burden of different non-communicable diseases around the world. Current measurement is restricted by limitations in existing me...
Mexico Aged Epidemiologic Methods Adult Chronic Disease Natural Language Processing Cause of Death Middle Aged Surveys and Questionnaires Data Mining Prevalence Male Health Surveys Algorithms Humans Female Artificial Intelligence
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Improving propensity score estimators' robustness to model misspecification using super learner.

American journal of epidemiology Dec 16, 2014
The consistency of propensity score (PS) estimators relies on correct specification of the PS model. The PS is frequently estimated using main-effects logistic regression. However, the underlying model assumptions may not hold. Machine learning metho...
Epidemiologic Methods Bias Propensity Score Computer Simulation Data Interpretation, Statistical Humans Artificial Intelligence
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Invited commentary: deep learning-methods to amplify epidemiologic data collection and analyses.

American journal of epidemiology Feb 5, 2025
Deep learning is a subfield of artificial intelligence and machine learning, based mostly on neural networks and often combined with attention algorithms, that has been used to detect and identify objects in text, audio, images, and video. Serghiou a...
Deep Learning Data Collection Epidemiologic Methods Humans
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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...
Causality Models, Statistical Epidemiologic Studies Humans Machine Learning Epidemiologic Methods
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Thirteen Questions About Using Machine Learning in Causal Research (You Won't Believe the Answer to Number 10!).

American journal of epidemiology Aug 1, 2021
Machine learning is gaining prominence in the health sciences, where much of its use has focused on data-driven prediction. However, machine learning can also be embedded within causal analyses, potentially reducing biases arising from model misspeci...
Algorithms Causality Humans Machine Learning Bias Data Interpretation, Statistical Epidemiologic Methods
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STAN: spatio-temporal attention network for pandemic prediction using real-world evidence.

Journal of the American Medical Informatics Association : JAMIA Mar 18, 2021
OBJECTIVE: We aim to develop a hybrid model for earlier and more accurate predictions for the number of infected cases in pandemics by (1) using patients' claims data from different counties and states that capture local disease status and medical re...
Humans COVID-19 Deep Learning United States Neural Networks, Computer Pandemics Models, Statistical Epidemiologic Methods
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Intersections of machine learning and epidemiological methods for health services research.

International journal of epidemiology Jan 23, 2021
The field of health services research is broad and seeks to answer questions about the health care system. It is inherently interdisciplinary, and epidemiologists have made crucial contributions. Parametric regression techniques remain standard pract...
Health Services Research Epidemiologic Methods Machine Learning Delivery of Health Care Humans
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Estimation of COVID-19 epidemic curves using genetic programming algorithm.

Health informatics journal Jan 1, 2021
This paper investigates the possibility of the implementation of Genetic Programming (GP) algorithm on a publicly available COVID-19 data set, in order to obtain mathematical models which could be used for estimation of confirmed, deceased, and recov...
SARS-CoV-2 Models, Theoretical Epidemiologic Methods Epidemics COVID-19 Algorithms Humans Machine Learning
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Better Cholera Counts Through Machine Learning Models.

JAMA Apr 9, 2019
Models, Statistical Serologic Tests Epidemiologic Methods Cholera Bangladesh Humans Machine Learning
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Application of a long short-term memory neural network: a burgeoning method of deep learning in forecasting HIV incidence in Guangxi, China.

Epidemiology and infection Jan 1, 2019
Guangxi, a province in southwestern China, has the second highest reported number of HIV/AIDS cases in China. This study aimed to develop an accurate and effective model to describe the tendency of HIV and to predict its incidence in Guangxi. HIV inc...
Humans Deep Learning Epidemiologic Methods HIV Infections Forecasting Incidence China
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