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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 401–425 of 425 papers

TitleStatusHype
Challenges for machine learning in clinical translation of big data imaging studiesCode0
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian ProcessesCode0
Stability in Reaction Network Models via an Extension of the Next Generation Matrix MethodCode0
Uncertainty-aware generative models for inferring document class prevalenceCode0
Amortized Simulation-Based Frequentist Inference for Tractable and Intractable LikelihoodsCode0
Multi-fidelity Hierarchical Neural ProcessesCode0
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental DesignCode0
Under-Counted Tensor Completion with Neural Incorporation of AttributesCode0
The impact of recovery rate heterogeneity in achieving herd immunityCode0
Bayesian calibration of stochastic agent based model via random forestCode0
Multi-task Learning for Aggregated Data using Gaussian ProcessesCode0
Exploring the evolution of research topics during the COVID-19 pandemicCode0
Learning and Generalizing Polynomials in Simulation MetamodelingCode0
Learning Dynamical Systems with Side InformationCode0
Federated Learning for Non-factorizable Models using Deep Generative Prior ApproximationsCode0
Structural-Temporal Coupling Anomaly Detection with Dynamic Graph TransformerCode0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
Retrospective analysis of SARS-CoV-2 omicron invasion over delta in French regions in 2021-22: a status-based multi-variant modelCode0
Flexible Parametric Inference for Space-Time Hawkes ProcessesCode0
A Bayesian Monte Carlo approach for predicting the spread of infectious diseasesCode0
Forecasting and predicting stochastic agent-based model data with biologically-informed neural networksCode0
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural NetworksCode0
Total Variation Regularization for Compartmental Epidemic Models with Time-Varying DynamicsCode0
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial AssociationCode0
Efficient comparison of independence structures of log-linear modelsCode0
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