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Epidemiology

Epidemiology is a scientific discipline that provides reliable knowledge for clinical medicine focusing on prevention, diagnosis and treatment of diseases. Research in Epidemiology aims at characterizing risk factors for the outbreak of diseases and at evaluating the efficiency of certain treatment strategies, e.g., to compare a new treatment with an established gold standard. This research is strongly hypothesis-driven and statistical analysis is the major tool for epidemiologists so far. Correlations between genetic factors, environmental factors, life style-related parameters, age and diseases are analyzed.

Source: Visual Analytics of Image-Centric Cohort Studies in Epidemiology

Papers

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Showing 101–125 of 425 papers

TitleStatusHype
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous TransformerCode0
TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure—0
TS-CausalNN: Learning Temporal Causal Relations from Non-linear Non-stationary Time Series Data—0
A Review of Graph Neural Networks in Epidemic ModelingCode2
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis—0
Leveraging advances in machine learning for the robust classification and interpretation of networks—0
Public Goods Games in Disease Evolution and Spread—0
Information Theory Unification of Epidemiological and Population Dynamics—0
Ethnic Disparities of Female Infiltrating Duct and Lobular Breast Cancer Survival by Cancer Stage: Findings From SEER 2006-2010—0
Online Performance Estimation with Unlabeled Data: A Bayesian Application of the Hui-Walter ParadigmCode0
Epidemiological dynamics in populations structured by neighbourhoods and householdsCode0
Kernel Density Estimation for Multiclass Quantification—0
Guidelines in Wastewater-based Epidemiology of SARS-CoV-2 with Diagnosis—0
An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development—0
Sentiment Analysis and Text Analysis of the Public Discourse on Twitter about COVID-19 and MPox—0
Nearest Neighbor Sampling for Covariate Shift Adaptation—0
Algorithmic approach for an unique definition of the next generation matrix—0
Population mobility, well-mixed clustering and disease spread: a look at COVID-19 Spread in the United States and preventive policy insights—0
Creating a Discipline-specific Commons for Infectious Disease Epidemiology—0
Forecasting and predicting stochastic agent-based model data with biologically-informed neural networksCode0
Reaction-diffusion equations in mathematical models arising in epidemiology—0
Causal Dynamic Variational Autoencoder for Counterfactual Regression in Longitudinal Data—0
A Generalization Bound of Deep Neural Networks for Dependent Data—0
Exploring the evolution of research topics during the COVID-19 pandemicCode0
Iterative Sketching for Secure Coded Regression—0
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