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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 101–125 of 425 papers

TitleStatusHype
Covariance regression with random forestsCode0
COVID-19 epidemiology as emergent behavior on a dynamic transmission forestCode0
A Simple Approximate Bayesian Inference Neural Surrogate for Stochastic Petri Net ModelsCode0
COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions AttributesCode0
Disease control as an optimization problemCode0
Interplay between competitive and cooperative interactions in a three-player pathogen systemCode0
Parameter elimination in particle Gibbs samplingCode0
Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System—0
A New Perspective on Determining Disease Invasion and Population Persistence in Heterogeneous Environments—0
Understanding Multistationarity of Fully Open Reaction Networks—0
Automatically Identifying Comparator Groups on Twitter for Digital Epidemiology of Pregnancy Outcomes—0
An epidemiological model of viral infections in a Varroa-infested bee colony: the case of a bee-dependent mite population size—0
A Hamiltonian Higher-Order Elasticity Framework for Dynamic Diagnostics(2HOED)—0
Deep Learning for Epidemiological Predictions—0
Deep Learning applications for COVID-19—0
Automated Stitching of Coral Reef Images and Extraction of Features for Damselfish Shoaling Behavior Analysis—0
Deep clustering of longitudinal data—0
Data, tools and resources for mining social media drug chatter—0
Generalizing Correspondence Analysis for Applications in Machine Learning—0
Deep spatio-temporal point processes: Advances and new directions—0
At the crossroads of epidemiology and biology: bridging the gap between SARS-CoV-2 viral strain properties and epidemic wave characteristics—0
An epidemical model with nonlocal spatial infections—0
Data needs for integrated economic-epidemiological models of pandemic mitigation policies—0
Development of CODO: A Comprehensive Tool for COVID-19 Data Representation, Analysis, and Visualization—0
A Survey on Large-Population Systems and Scalable Multi-Agent Reinforcement Learning—0
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