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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 51–75 of 425 papers

TitleStatusHype
Accelerating Simulation-based Inference with Emerging AI HardwareCode0
Hardware-accelerated Simulation-based Inference of Stochastic Epidemiology Models for COVID-19Code0
Identifiable causal inference with noisy treatment and no side informationCode0
Inference for High Dimensional Censored Quantile RegressionCode0
A Numerical Comparison of Petri Net and Ordinary Differential Equation SIR Component ModelsCode0
Epidemiological dynamics in populations structured by neighbourhoods and householdsCode0
Learning Dynamical Systems with Side InformationCode0
Smooth Sailing: Lipschitz-Driven Uncertainty Quantification for Spatial AssociationCode0
Flexible Parametric Inference for Space-Time Hawkes ProcessesCode0
Automatic ICD Coding Exploiting Discourse Structure and Reconciled Code EmbeddingsCode0
A Likelihood-Free Approach to Goal-Oriented Bayesian Optimal Experimental DesignCode0
SINDyG: Sparse Identification of Nonlinear Dynamical Systems from Graph-Structured DataCode0
DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time SeriesCode0
Did You Really Just Have a Heart Attack? Towards Robust Detection of Personal Health Mentions in Social MediaCode0
Disease control as an optimization problemCode0
Correspondence Analysis Using Neural NetworksCode0
Probabilistic AutoRegressive Neural Networks for Accurate Long-range ForecastingCode0
Cost-aware simulation-based inferenceCode0
Confound-leakage: Confound Removal in Machine Learning Leads to LeakageCode0
Compositional simulation-based inference for time seriesCode0
COVID-19 epidemiology as emergent behavior on a dynamic transmission forestCode0
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions AttributesCode0
Congruity of genomic and epidemiological data in modeling of local cholera outbreaksCode0
Cost Effective Reproduction Number Based Strategies for Reducing Deaths from COVID-19Code0
Challenges for machine learning in clinical translation of big data imaging studiesCode0
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