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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 376–400 of 425 papers

TitleStatusHype
Identifiable causal inference with noisy treatment and no side informationCode0
Disease control as an optimization problemCode0
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogatesCode0
Distilling Importance Sampling for Likelihood Free InferenceCode0
Estimating Structural Target Functions using Machine Learning and Influence FunctionsCode0
Accelerating Simulation-based Inference with Emerging AI HardwareCode0
Online Performance Estimation with Unlabeled Data: A Bayesian Application of the Hui-Walter ParadigmCode0
Mobile Human Ad Hoc Networks: A Communication Engineering Viewpoint on Interhuman Airborne Pathogen TransmissionCode0
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net ModelsCode0
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario ContextCode0
Three faces of node importance in network epidemiology: Exact results for small graphsCode0
Optimal virulence strategies in epidemiological models with asymptomatic transmissionCode0
Inference for High Dimensional Censored Quantile RegressionCode0
Using Geographic Location-based Public Health Features in Survival AnalysisCode0
Correspondence Analysis Using Neural NetworksCode0
Outcome-guided Sparse K-means for Disease Subtype Discovery via Integrating Phenotypic Data with High-dimensional Transcriptomic DataCode0
Random walk models in the life sciences: including births, deaths and local interactionsCode0
Congruity of genomic and epidemiological data in modeling of local cholera outbreaksCode0
Parameter elimination in particle Gibbs samplingCode0
Referenced Thermodynamic Integration for Bayesian Model Selection: Application to COVID-19 Model SelectionCode0
Parity CalibrationCode0
Confound-leakage: Confound Removal in Machine Learning Leads to LeakageCode0
Epidemiological dynamics in populations structured by neighbourhoods and householdsCode0
Compositional simulation-based inference for time seriesCode0
Interplay between competitive and cooperative interactions in a three-player pathogen systemCode0
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