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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 126–150 of 425 papers

TitleStatusHype
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning—0
Data-Driven Methods for Present and Future Pandemics: Monitoring, Modelling and Managing—0
A Survey of the Individual-Based Model applied in Biomedical and Epidemiology—0
Agent based simulators for epidemic modelling: Simulating larger models using smaller ones—0
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation—0
Data-driven deep learning algorithms for time-varying infection rates of COVID-19 and mitigation measures—0
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19—0
A survey of Bayesian Network structure learning—0
Creation and use of Language Resources in a Question-Answering eHealth System—0
A spatio-temporal framework for modelling wastewater concentration during the COVID-19 pandemic—0
An AI-assisted Economic Model of Endogenous Mobility and Infectious Diseases: The Case of COVID-19 in the United States—0
Creating a Discipline-specific Commons for Infectious Disease Epidemiology—0
Cox process representation and inference for stochastic reaction-diffusion processes—0
A new formulation of compartmental epidemic modelling for arbitrary distributions of incubation and removal times—0
A systems biology approach to COVID-19 progression in a population—0
An activation-clearance model for Plasmodium vivax malaria—0
A Generalization Bound of Deep Neural Networks for Dependent Data—0
A Semi-Supervised Machine Learning Approach to Detecting Recurrent Metastatic Breast Cancer Cases Using Linked Cancer Registry and Electronic Medical Record Data—0
Coupling plankton and cholera dynamics: insights into outbreak prediction and practical disease management—0
Counterfactual Analysis in Dynamic Latent State Models—0
A Rule-Based Epidemiological Modelling Framework—0
A multi-scale model of virus pandemic: Heterogeneous interactive entities in a globally connected world—0
Cost-efficient vaccination protocols for network epidemiology—0
A review of matrix SIR Arino epidemic models—0
A Modified PINN Approach for Identifiable Compartmental Models in Epidemiology with Applications to COVID-19—0
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