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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 51–100 of 425 papers

TitleStatusHype
Learning and Generalizing Polynomials in Simulation MetamodelingCode0
Parity CalibrationCode0
Practical and scalable simulations of non-Markovian stochastic processes and temporal networks with individual node propertiesCode0
Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER DatabaseCode0
Advancing calibration for stochastic agent-based models in epidemiology with Stein variational inference and Gaussian process surrogatesCode0
Referenced Thermodynamic Integration for Bayesian Model Selection: Application to COVID-19 Model SelectionCode0
Stability in Reaction Network Models via an Extension of the Next Generation Matrix MethodCode0
Learning Dynamical Systems with Side InformationCode0
Inference for High Dimensional Censored Quantile RegressionCode0
Automatic ICD Coding Exploiting Discourse Structure and Reconciled Code EmbeddingsCode0
Heterogeneity in susceptibility dictates the order of epidemiological modelsCode0
BAND: Biomedical Alert News DatasetCode0
Interplay between competitive and cooperative interactions in a three-player pathogen systemCode0
A Numerical Comparison of Petri Net and Ordinary Differential Equation SIR Component ModelsCode0
Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower BoundsCode0
Guided Deep List: Automating the Generation of Epidemiological Line Lists from Open SourcesCode0
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19Code0
Mobile Human Ad Hoc Networks: A Communication Engineering Viewpoint on Interhuman Airborne Pathogen TransmissionCode0
Forecasting and predicting stochastic agent-based model data with biologically-informed neural networksCode0
Federated Learning for Non-factorizable Models using Deep Generative Prior ApproximationsCode0
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural NetworksCode0
Epidemiological dynamics in populations structured by neighbourhoods and householdsCode0
Distilling Importance Sampling for Likelihood Free InferenceCode0
Did You Really Just Have a Heart Attack? Towards Robust Detection of Personal Health Mentions in Social MediaCode0
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental DesignCode0
Exploring the evolution of research topics during the COVID-19 pandemicCode0
Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction NetworksCode0
Flexible Parametric Inference for Space-Time Hawkes ProcessesCode0
Probabilistic AutoRegressive Neural Networks for Accurate Long-range ForecastingCode0
SINDyG: Sparse Identification of Nonlinear Dynamical Systems from Graph-Structured DataCode0
COVID-19 epidemiology as emergent behavior on a dynamic transmission forestCode0
Challenges for machine learning in clinical translation of big data imaging studiesCode0
Clustering and Pruning in Causal Data FusionCode0
Accelerating Simulation-based Inference with Emerging AI HardwareCode0
Identifiable causal inference with noisy treatment and no side informationCode0
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian ProcessesCode0
Covariance regression with random forestsCode0
Compositional simulation-based inference for time seriesCode0
A refractory density approach to a multi-scale SEIRS epidemic modelCode0
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions AttributesCode0
Bayesian calibration of stochastic agent based model via random forestCode0
Congruity of genomic and epidemiological data in modeling of local cholera outbreaksCode0
Efficient comparison of independence structures of log-linear modelsCode0
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous TransformerCode0
A Bayesian Monte Carlo approach for predicting the spread of infectious diseasesCode0
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time SeriesCode0
Cost Effective Reproduction Number Based Strategies for Reducing Deaths from COVID-19Code0
A Behaviour and Disease Model of Testing and IsolationCode0
Disease control as an optimization problemCode0
GeoDict: an integrated gazetteerCode0
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